Skip to main content
Biology LibreTexts

6.5: Enzyme and Protein Regulation

  • Page ID
    102268
  • \( \newcommand{\vecs}[1]{\overset { \scriptstyle \rightharpoonup} {\mathbf{#1}} } \)

    \( \newcommand{\vecd}[1]{\overset{-\!-\!\rightharpoonup}{\vphantom{a}\smash {#1}}} \)

    \( \newcommand{\id}{\mathrm{id}}\) \( \newcommand{\Span}{\mathrm{span}}\)

    ( \newcommand{\kernel}{\mathrm{null}\,}\) \( \newcommand{\range}{\mathrm{range}\,}\)

    \( \newcommand{\RealPart}{\mathrm{Re}}\) \( \newcommand{\ImaginaryPart}{\mathrm{Im}}\)

    \( \newcommand{\Argument}{\mathrm{Arg}}\) \( \newcommand{\norm}[1]{\| #1 \|}\)

    \( \newcommand{\inner}[2]{\langle #1, #2 \rangle}\)

    \( \newcommand{\Span}{\mathrm{span}}\)

    \( \newcommand{\id}{\mathrm{id}}\)

    \( \newcommand{\Span}{\mathrm{span}}\)

    \( \newcommand{\kernel}{\mathrm{null}\,}\)

    \( \newcommand{\range}{\mathrm{range}\,}\)

    \( \newcommand{\RealPart}{\mathrm{Re}}\)

    \( \newcommand{\ImaginaryPart}{\mathrm{Im}}\)

    \( \newcommand{\Argument}{\mathrm{Arg}}\)

    \( \newcommand{\norm}[1]{\| #1 \|}\)

    \( \newcommand{\inner}[2]{\langle #1, #2 \rangle}\)

    \( \newcommand{\Span}{\mathrm{span}}\) \( \newcommand{\AA}{\unicode[.8,0]{x212B}}\)

    \( \newcommand{\vectorA}[1]{\vec{#1}}      % arrow\)

    \( \newcommand{\vectorAt}[1]{\vec{\text{#1}}}      % arrow\)

    \( \newcommand{\vectorB}[1]{\overset { \scriptstyle \rightharpoonup} {\mathbf{#1}} } \)

    \( \newcommand{\vectorC}[1]{\textbf{#1}} \)

    \( \newcommand{\vectorD}[1]{\overrightarrow{#1}} \)

    \( \newcommand{\vectorDt}[1]{\overrightarrow{\text{#1}}} \)

    \( \newcommand{\vectE}[1]{\overset{-\!-\!\rightharpoonup}{\vphantom{a}\smash{\mathbf {#1}}}} \)

    \( \newcommand{\vecs}[1]{\overset { \scriptstyle \rightharpoonup} {\mathbf{#1}} } \)

    \( \newcommand{\vecd}[1]{\overset{-\!-\!\rightharpoonup}{\vphantom{a}\smash {#1}}} \)

    \(\newcommand{\avec}{\mathbf a}\) \(\newcommand{\bvec}{\mathbf b}\) \(\newcommand{\cvec}{\mathbf c}\) \(\newcommand{\dvec}{\mathbf d}\) \(\newcommand{\dtil}{\widetilde{\mathbf d}}\) \(\newcommand{\evec}{\mathbf e}\) \(\newcommand{\fvec}{\mathbf f}\) \(\newcommand{\nvec}{\mathbf n}\) \(\newcommand{\pvec}{\mathbf p}\) \(\newcommand{\qvec}{\mathbf q}\) \(\newcommand{\svec}{\mathbf s}\) \(\newcommand{\tvec}{\mathbf t}\) \(\newcommand{\uvec}{\mathbf u}\) \(\newcommand{\vvec}{\mathbf v}\) \(\newcommand{\wvec}{\mathbf w}\) \(\newcommand{\xvec}{\mathbf x}\) \(\newcommand{\yvec}{\mathbf y}\) \(\newcommand{\zvec}{\mathbf z}\) \(\newcommand{\rvec}{\mathbf r}\) \(\newcommand{\mvec}{\mathbf m}\) \(\newcommand{\zerovec}{\mathbf 0}\) \(\newcommand{\onevec}{\mathbf 1}\) \(\newcommand{\real}{\mathbb R}\) \(\newcommand{\twovec}[2]{\left[\begin{array}{r}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\ctwovec}[2]{\left[\begin{array}{c}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\threevec}[3]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\cthreevec}[3]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\fourvec}[4]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\cfourvec}[4]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\fivevec}[5]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\cfivevec}[5]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\mattwo}[4]{\left[\begin{array}{rr}#1 \amp #2 \\ #3 \amp #4 \\ \end{array}\right]}\) \(\newcommand{\laspan}[1]{\text{Span}\{#1\}}\) \(\newcommand{\bcal}{\cal B}\) \(\newcommand{\ccal}{\cal C}\) \(\newcommand{\scal}{\cal S}\) \(\newcommand{\wcal}{\cal W}\) \(\newcommand{\ecal}{\cal E}\) \(\newcommand{\coords}[2]{\left\{#1\right\}_{#2}}\) \(\newcommand{\gray}[1]{\color{gray}{#1}}\) \(\newcommand{\lgray}[1]{\color{lightgray}{#1}}\) \(\newcommand{\rank}{\operatorname{rank}}\) \(\newcommand{\row}{\text{Row}}\) \(\newcommand{\col}{\text{Col}}\) \(\renewcommand{\row}{\text{Row}}\) \(\newcommand{\nul}{\text{Nul}}\) \(\newcommand{\var}{\text{Var}}\) \(\newcommand{\corr}{\text{corr}}\) \(\newcommand{\len}[1]{\left|#1\right|}\) \(\newcommand{\bbar}{\overline{\bvec}}\) \(\newcommand{\bhat}{\widehat{\bvec}}\) \(\newcommand{\bperp}{\bvec^\perp}\) \(\newcommand{\xhat}{\widehat{\xvec}}\) \(\newcommand{\vhat}{\widehat{\vvec}}\) \(\newcommand{\uhat}{\widehat{\uvec}}\) \(\newcommand{\what}{\widehat{\wvec}}\) \(\newcommand{\Sighat}{\widehat{\Sigma}}\) \(\newcommand{\lt}{<}\) \(\newcommand{\gt}{>}\) \(\newcommand{\amp}{&}\) \(\definecolor{fillinmathshade}{gray}{0.9}\)

    Search Fundamentals of Biochemistry

    Many different mechanisms control protein activity within a cell. The primary sequence of a protein is a main determinant of protein folding and final conformation as well as biochemical activity, stability, and half-life. However, at any given moment, the proteome, the full complement of proteins within a cell, is up to two or three orders of magnitude more complex than the encoding genomes would predict. This chapter will give an overview of the major mechanisms utilized by biological systems to regulate protein functions after the protein has been synthesized. Note that these mechanisms seldom work in isolation. There are multiple levels of protein control that function at any given time and in response to many different environmental cues and signals. We will discuss many ways to regulate protein activity. At the end, we will discuss regulation through the use of different isozymes of an enzyme, which are variants of an enzyme arising from differential splicing of a gene or arising from slightly different genes that arose from a common precursor gene. We will focus on cyclooxygenases, the target of so many medicinal drugs.

    Post-Translational Modifications (PTMs).

    The human genome contains approximately 20,000 genes. When analyzing the transcriptome, it becomes apparent that the genome becomes amplified by the wide array of splice variants that can occur when primary RNA transcripts are spliced to form mature messenger RNAs. There are about 200,000 expressed transcripts of which about 146,00 encode proteins, with about 7.4 transcripts per gene. A summary of human gene transcripts is shown in Table \(\PageIndex{1}\) below.

    Type

    GTEx dataset

    Expressed all genes

    Expressed protein-coding genes

    Transcripts per Gene

    3.42

    3.63

    7.43

    Gene counts

    58,219

    53,539

    19,591

    Transcript counts

    199,324

    194,146

    145,571

    Table \(\PageIndex{1}\): Numbers of transcript and gene in the GTEx dataset. Tung, KF., Pan, CY., Chen, CH. et al. Top-ranked expressed gene transcripts of human protein-coding genes investigated with GTEx dataset. Sci Rep 10, 16245 (2020). https://doi.org/10.1038/s41598-020-73081-5. Creative Commons Attribution 4.0 International License. http://creativecommons.org/licenses/by/4.0/.

    The number of distinct primary structures of proteins (proteoforms) from 20,000 human genes is amplified again through posttranslational modifications (PTMs) of proteins, which produce up to a million different variants. PTMs are present in both eukaryotes and prokaryotes, but are more common in eukaryotic cells, in which about 5% of the genome is dedicated to enzymes that carry out posttranslational modifications of proteins. We discussed chemical modification of specific amino acids in Chapter 3.1: Amino Acids and Peptides.

    Protein PTM results from the enzymatic or nonenzymatic attachment of specific chemical groups to amino acid side chains. Such modifications occur either following protein translation or concomitant with translation. PTM influences both protein structure and physiological and cellular functions. Examples of enzymatic PTMs include phosphorylation, glycosylation, acetylation, methylation, sumoylation, palmitoylation, biotinylation, ubiquitinylation, nitration, chlorination, and oxidation/reduction. Nonenzymatic PTMs include glycation, nitrosylation, oxidation/reduction, acetylation, and succinylation. Some rare and unconventional PTMs, such as glypiation, neddylation, siderophorylation, AMPylation, and cholesteroylation, are also known to influence protein structure and function. Note that many of these modifications are not made in isolation. It is common for proteins to have several different types of modifications and that these modifications can differ depending on the tissue type and environmental circumstances present. The major PTMs in eukaryotes, their target amino acid residue(s), and the types of enzyme(s) or protein(s) involved are shown in Table \(\PageIndex{2}\) below.

    post-translational-table.jpg

    Table \(\PageIndex{2}\): Common Protein Post-Translational Modifications, Their Target Amino Acid Residues, and the Enzyme(s) or Proteins Involved. Santos, A.L, and Lindner, A.B. (2017) Oxidatve Medicine and Longevity, Article ID: 5716409

    PTMs can exert their effect through many different structural changes, including opening and closing the active site, changing the conformation and electrostatic properties of binding sites, changing the flexibility of the chain, increasing or decreasing intrinsically disordered regions, altering protein-protein interactions, etc. These effects can also arise from the binding of small molecules.

    Methods to Detect Protein Posttranslational Modifications

    Specific amino acid residues are subjected to PTMs depending on the chemistry of the reaction and the sequence specificity of the enzyme involved. Initially, the detection of PTMs was carried out by various analytical methods, such as radiolabeling of the proteins, thin-layer chromatography, column chromatography, and/or polyacrylamide gel electrophoresis. Other methods, such as protein sequencing by Edman degradation and Western blotting using protein-specific antibodies, have since been developed. Currently, antibody-based detection methods and mass spectrometry-based proteomic analysis are the predominant methods used to detect and analyze PTMs. However, mass spectrometric methods are the only available tool to perform global or large-scale PTM analysis.

    Antibody-based methods mostly rely on the availability of antibodies that can specifically recognize a modified amino acid residue within a protein or peptide. Such antibodies can be polyclonal or monoclonal and are developed against either the modified peptide/protein or against the modified amino acid. Moreover, antibody-based detection and quantification of PTMs on protein/peptide samples can be performed by two methods: chemiluminescence-based Western blotting and absorbance/fluorescence-based ELISA. However, the detection of PTMs depends entirely on the recognition site of the antibody used. If the antibody detects only the modified amino acid, additional analysis—for instance, protein/peptide isolation and sequencing—should be performed to detect the sequence context of the modification. However, if the antibody detects the PTM within a specific sequence context, the presence of PTM at other sites will remain undetected (ie the antibody will be specific for only that single modification).

    Mass spectrometric detection of specific PTMs is based on mass changes. Depending on the type of modification, a specific change in the mass of the modified amino acid or peptide occurs. Subsequently, the change in mass is detected by the mass spectrometer to identify the presence of a PTM in a peptide sample. Using tandem mass spectrometric methods, identification of the specific site of PTM can be achieved by subsequent fragmentation and sequencing of the relevant peptide. Yet, technical challenges hamper MS-based investigation of biologically important PTMs, such as ADP-ribosylation, one of the key signaling molecules that regulate DNA repair, a critical process in maintaining genome stability that is compromised in cancer and aging.

    Data increasingly implicate PTMs not only during aging and/or under pathological conditions but in the normal functioning of the cell. In turn, PTMs are increasingly studied for their role in health and disease. For example, the precise and accurate measurement of distinct PTM-containing moieties offers potential biomarker utility to aid early diagnosis, prognosis, monitoring response to therapy and decisions regarding inclusion in clinical trials as new medicines are developed. However, technical difficulties limit these studies, leaving many unanswered questions. The identification of unknown/unexpected PTMs by proteomic data reanalysis is an emerging subfield of proteomics recently boosted by the increased availability of raw data shared in public repositories. Notably, though, a sampling of the proteome in a given organism or cell provides only a snapshot of a highly dynamic process, confounding the analytical problem and ultimately arguing for time-resolved inventories. Thus, while many tools are currently available for the study of PTMs, new methods are needed to further advance the study of these modifications.

    Examples of PTMs

    Protein PTMs involve the covalent addition of some chemical group by enzymatic catalysis. Typically, an electrophilic fragment of a co-substrate is added to an electron-rich protein side chain, which acts as a nucleophile in the transfer. Common covalent protein PTMs include phosphorylation, acylation, methylation, sumoylation, ubiquitination, glycosylation, lipidation, oxidation and disulfide bond formation (either internal within a single protein or linking two protein/peptide chains together). Examples of common PTMs are provided in Figure \(\PageIndex{1}\ below.

    PTMs-III-1024x876.png

    Protein Phosphorylation

    One of the most common posttranslational modifications, protein phosphorylation, is the reversible addition of a phosphoryl group from adenosine triphosphate (ATP) to amino acid side chains such as serine, threonine, and tyrosine residues as shown in Figure \(\PageIndex{2}\). This modification causes conformational changes that either (1) affect the catalytic activity to activate or inactivate the protein and/or cause the tendency of a protein to misfold and aggregate or (2) recruit other proteins to bind; both responses result in altered protein function and cell signaling. Phosphorylated proteins have critical and well-known functions in diverse cellular processes across eukaryotes, but phosphorylation also occurs in prokaryotic cells. In humans, about one-third of proteins are estimated to be substrates for phosphorylation. Indeed, phosphorylated proteins are now identified and characterized by high-throughput phosphoproteomics studies. The reversibility of protein phosphorylation is attributed to the actions of kinases and phosphatases, which phosphorylate and dephosphorylate substrates, respectively. The temporal and spatial balance of kinase and phosphatase concentrations within a cell mediates the size of its phosphoproteome.

    proteinkinasesphosphatases.svg
    Figure \(\PageIndex{2}\): Amino acid phosphorylation in proteins

    Protein Acylation

    The simplest form of acylation is protein N-Acetylation. This occurs at the amino terminus amine and the ε-amino group of the lysine side chains through the action of acetylases. The acetylation of lysine side chains can be reversed through the actions of deacetylases (similar to the combined actions of protein kinases and phosphatases). The general reactions of protein N-acetylation are shown in Figure \(\PageIndex{3}\). Interestingly, 80–90% of eukaryotic proteins are acetylated, yet the underlying biological significance remains unclear.

    acetylationProteins.svg
    Figure \(\PageIndex{3}\): Protein N-acetylation and deacetylation reactions

    The acetyl donor is acetyl-CoA. The N-terminus (reaction A) is acetylated by N-terminal acetyltransferases (NATs). The ε-amino group of lysine (reaction B) is acetylated by lysine acetyltransferases (KATs). The latter modification is reversed through two different enzymes. One is a simple hydrolysis (reaction C) catalyzed by lysine deacetylases (KDACs). The other (reaction D) requires NAD+ and is catalyzed by enzymes called sirtuins (silent information regulator). Since sirtuins use NAD+, one of the main oxidizing agents in the biological world, they link the protein acetylome with metabolic status and promote metabolic health.

    Histones, positively charged proteins found in eukaryotic cell nuclei, pack and order the DNA into structural units called nucleosomes as shown in Figure \(\PageIndex{4}\).

    Nucleosome_organization.png
    Figure \(\PageIndex{4}\): Nucleosome organization. https://commons.wikimedia.org/wiki/F...ganization.png. Creative Commons Attribution-Share Alike 3.0 Unported license.

    The histones have multiple lysine and arginine residues that interact with the negatively charged phosphate groups of the DNA backbone. The nucleosome core is formed of two H2A-H2B dimers and an H3-H4 tetramer, forming two nearly symmetrical halves by tertiary structure (C2 symmetry; one macromolecule is the mirror image of the other). The 4 'core' histones (H2A, H2B, H3 and H4) are relatively similar in structure and highly conserved through evolution, all featuring a 'helix-turn-helix' motif (a DNA-binding protein motif that recognizes specific DNA sequence). They also share the feature of long 'tails' on one end of the amino acid structure, which is the location of post-translational modification, specifically N-acetylation.

    Histone acetylation typically results in transcriptional activation; deacetylation typically results in transcriptional suppression. Acetylation occurs via histone acetyltransferases (HATs) and is reversible via the action of histone deacetylases (HDACs). One group of histone deacetylases are the sirtuins (silent information regulator), which maintain gene silencing via hypoacetylation. Sirtuins have been reported to aid in maintaining genomic stability. Figure \(\PageIndex{5}\) shows the effect of acetylation on histone:DNA packing.

    histoneacetylation.jpg
    Figure \(\PageIndex{5}\): Histone octamers form the backbone for chromosomal structure. Acetylation and methylation affect histone-DNA interactions. DNA methylation increases histone-DNA affinity and blocks transcriptional activation. Acetylation of the histone tails disrupts histone-DNA interactions and facilitates gene expression. https://commons.wikimedia.org/wiki/F...cetylation.jpg. Creative Commons Attribution 3.0 Unported

    Although first described in histones, acetylation is also observed in cytoplasmic proteins. Acetylated proteins can also be modulated by cross-talk with other posttranslational modifications, including phosphorylation, ubiquitination, and methylation. Therefore, acetylation may contribute to cell biology beyond transcriptional regulation.

    Protein Glycosylation

    Protein glycosylation involves the addition of a diverse set of sugar moieties to the protein core. Glycosylation has significant implications for protein folding, conformation, distribution, stability, and activity. Glycosylated proteins can have additions of simple monosaccharides. For example, many nuclear transcription factors are modified in this way. Alternatively, some proteins are modified with highly complex branched polysaccharides, such as those seen on cell surface protein receptors.

    More than half of all mammalian proteins are believed to be glycosylated. While proteins exhibit improved stability and trafficking after glycosylation in vivo, glycan structures can alter protein functions or activities. Glycan structures often are modified by glycan-processing enzymes working within a cell at any given time. However, the structures are sometimes protein-specific, depending on protein trafficking properties and interactions with other cellular factors.

    There are three types of protein glycosylation in higher eukaryotes: N-linked, O-linked, and C-linked. These types reflect their glycosidic linkages to amino acid side chains. In N-linked glycosylation, β-N-acetylglucosamine (GlcNAc) is attached through an amide linkage to the side chain of Asn within a consensus sequence of AsnXaaSer/Thr (Figure 8.8). N-linked glycans have multiple functions. While they act as ligands for glycan-binding proteins in cell-cell communication, they also can regulate glycoprotein aggregation in the plasma membrane and affect the half-life of antibodies, cytokines, and hormones in serum.

    O-linked glycosylation in higher eukaryotes occurs through several different mechanisms. The most abundant type of O-linked glycosylation is the mucin-type, which involve the attachment of an α-N-acetylgalactosamine (GalNAc) to the hydroxyl group of Ser/Thr side chains. Mucins are a family of high molecular weight, heavily glycosylated proteins (glycoconjugates) produced by epithelial tissues in most animals. A key characteristic of mucin proteins is their ability to form gels; therefore they are a key component in most gel-like secretions, serving functions from lubrication to cell signaling to forming chemical barriers. Aberrant expression of mucin-type O-linked glycans occurs in cancer cells and may provide targets for anticancer vaccines.

    O-linked glycosylation occurring with the addition of α-O-mannose is the only form of O-linked glycosylation in yeast, but also occurs in the brains of higher eukaryotes. Higher eukaryotes also have an α-O-fucose modification of Ser/Thr residues. This type of glycosylation modulates signaling pathways during eukaryotic development. Another modification, β-O-galactosylation, may contribute to rheumatoid arthritis.

    Finally, C-linked glycosylation involves the addition of α-mannose (Man) to the 2-position of the indole side chain of tryptophan residues. While first identified on ribonuclease 2, it also occurs on other proteins, including some of the mucin proteins, thrombospondin, and the Ebola virus soluble glycoprotein. Figure \(\PageIndex{6}\) shows examples of glycan adducts.

    Ijms 17 01969 g001
    Figure \(\PageIndex{6}\): Glycan adducts to proteins Goettig, P. (2016) Int. J. Mol. Sci. 17(12), 1969

    We will discuss glycoprotein in great detail in the next chapter.

    Protein Ubiquitination and Sumoylation

    Ubiquitination (or ubiquinitylation) is the addition of an 8 kDa polypeptide, called ubiquitin, to lysine residues of target proteins via the C-terminal glycine residues of ubiquitin. The addition of one ubiquitin can lead to the addition of more to form ubiquitin chains on the target protein. The activity of the target protein can be modified by the addition of one ubiquitin. This can regulate the activity of a protein, its location within the cell, and its interaction with other proteins. The addition of a single ubiquitin to lysine 120 (K120) in humans and to K123 in yeast alters gene transcription through remodeling of chromatin. However, if multiple ubiquitins are added to the target protein forming a polyubiquitinated protein, the protein is tagged for degradation by the 26S proteasome. Figure \(\PageIndex{7}\) shows different patterns of ubiquitylation for proteins.

    Emerging functions of branched ubiquitin chains_Fig1.svg
    Figure \(\PageIndex{7}\): Classification of ubiquitin modifications. Ubiquitins modified on one acceptor site are colored in blue or yellow; the branch point ubiquitin is colored in red; unmodified or “terminal” ubiquitins are colored gray. French et al. Cell Discovery ( 2021) 7:6 Cell Discovery. https://doi.org/10.1038/s41421-020-00237-y. Creative Commons Attribution 4.0 International License. http://creativecommons.org/licenses/by/4.0/.

    An elaborate system of enzymes is involved in attaching a ubiquitin through its C-terminal Gly 76, to an internal lysine (or cysteine) in a target protein, and then adding more ubiquitins to form the structures shown above. Figure \(\PageIndex{8}\) shows the first step in the process which requires three enzymes, E1, E2, and E3.

    UbiquitinationAdd1.svg
    Figure \(\PageIndex{8}\): shows the first step in the process which requires three enzymes, E1 (Ub-activating), E2 (Ub-conjugating) and E3 (Ub-ligating) enzymes

    Once the first (or proximal) ubiquitin is added, more can be added to form chains. The steps involved in adding a second ubiquitin to the proximal one are shown in Figure \(\PageIndex{9}\).

    UbiquitinationAdd2.svg
    Figure \(\PageIndex{19}\): Addition of additional ubiquitin to form chains

    Similarly, protein sumoylation is a reversible posttranslational modification whereby a small ubiquitin-like modifier (SUMO) protein is covalently attached to a target. Like ubiquitin, SUMO is linked to a lysine side chain of target proteins and is removed by SUMO-specific isopeptidases. Sumoylation controls many aspects of nuclear function. Protein sumoylation is involved in many extranuclear neuronal processes and potentially in a wide range of neuropathological conditions.

    Figure \(\PageIndex{10}\) shows ubiquitin (1UBQ, magenta) and SUMO-1 (1A5R, cyan) superimposed. Note the similarity in their structures even though they share only 18% sequence identity. Key amino acids are shown in spacefill.

    1ubq_1a5r_ubi_sumo1.png
    Figure \(\PageIndex{10}\): Ubiquitin (1UBQ) and SUMO-1 (1A5R) superimposed

    SUMO-1 doesn't target proteins for degradation. One of its roles is in the transport of proteins between the nucleus and cytoplasm, and it is involved in the modulation of protein-protein interactions. Both ubiquitin and SUMO-1 have C-terminal glycine involved in isopeptide bond formation between ubiquitin or SUMO and the target protein. A major difference between ubiquitin and SUMO-1 is along disordered N-terminal end in SUMO. Also lysines 48 and 63, found in ubiquitin, are replaced by other amino acids. This may account for the observation that SUMO-1 does not form polymers.

    The interplay between ubiquitylation and SUMOlaytion is complex. If the ubiquitylation of proteins in inhibited, SUMOylation of newly synthesized proteins increases. These can end up in phase-separated condensates called Promyelocytic Leukemia Nuclear Bodies (PML nuclear bodies), 0.1–1 μm condensates without a membrane found in most mammalian cell nuclei. These are somehow involved in gene expression in the nucleus.

    Protein Oxidation

    The reaction of proteins with a variety of free radicals and reactive oxygen species (ROS) leads to oxidative protein modifications such as the formation of protein hydroperoxides, hydroxylation of aromatic groups and aliphatic amino acid side chains, oxidation of sulfhydryl groups, oxidation of methionine residues, conversion of some amino acid residues into carbonyl groups, cleavage of the polypeptide chain, and formation of cross-linking bonds. Aromatic and sulfur-containing amino acid residues are particularly susceptible to oxidative modification.

    Unless repaired or removed from cells, oxidized proteins are often toxic and can impair cellular viability, since oxidatively modified proteins can form large aggregates. Oxidatively damaged proteins undergo selective proteolysis, primarily by the 26S proteasome in a ubiquitin- and ATP-independent way. Upon extensive protein oxidation, these aggregates can become progressively resistant to proteolytic digestion and actually bind the 20S proteasome and irreversibly inhibit its activity.

    Protein carbonylation is defined as an irreversible posttranslational modification (PTM) whereby a reactive carbonyl moiety, such as an aldehyde, ketone, or lactam, is introduced into a protein. The first identified source of protein-bound carbonyls was metal-catalyzed oxidation (MCO). MCO results from the Fenton reaction when transition metal ions are reduced in the presence of hydrogen peroxide, generating highly reactive hydroxyl radicals in the process. These hydroxyl radicals can oxidize amino acid side chains or cleave the protein backbone, leading to numerous modifications including reactive carbonyls. For example, oxidation of proline and arginine results in the production of glutamic semialdehyde, while lysine is oxidized to aminoadipic semialdehyde and threonine to 2-amino-3-ketobutyric acid. Direct oxidation of other amino acid residues can also lead to protein-bound carbonyls. Tryptophan oxidation by ROS produces at least seven oxidation products. Among them are kynurenine and N-formyl kynurenine, as well as their hydroxylated analogs, which contain aldehyde or keto groups formed by oxidative cleavage of the indole ring.

    Another important source of protein-bound carbonyls is reactive lipid peroxidation products, which are produced during oxidation of polyunsaturated fatty acids. Protein carbonylation can also occur via glycoxidation. Reactive α-carbonyls formed during glycoxidation, such as glyoxal, methylglyoxal, and 3-deoxyglucosone, can then modify the basic residues Lys and Arg to generate, for example, pyrralines and imidazolones. Glycation (i.e., the reaction of reducing sugars such as glucose or fructose with the side chains of lysine and arginine residues) forms Amadori and/or Hynes products. These glycated residues can be further changed by ROS into advanced glycation end products (AGE) carrying carbonylated moieties.

    Some oxidative modifications are made enzymatically and have key regulatory or structural functions within the modified proteins. For example, proline can be converted to hydroxyproline and lysine to hydroxylysine, as shown in Figure \(\PageIndex{11}\). 4-Hydroxyproline makes up about 13.5% of the residues within the mammalian collagen family of proteins. Recall that collagen is the main protein of the connective tissue and represents about one-fourth of the total protein content in many animals. Hydroxyproline contributes to the stability of the triple helix and also aids in cross-linking collagen fibers to form larger macromolecular complexes.

    hydroxyprolineandlysine.svg
    Figure \(\PageIndex{11}\): Hydroxlation of lysine and proline. Xu, Y., et. al. (2014) Int J Mol Sci 15(5):7594-7610.

    Protein Methylation

    Alkyl substituents are also a common posttranslational modification. The introduction of such alkyl groups results in the alteration of the hydrophobicity of the modified protein. The most common type of protein alkylation is protein methylation, which is mediated by methyltransferase enzymes. One-carbon methyl groups are added to nitrogen or oxygen (N- and O-methylation, resp.) on amino acid side chains, increasing protein hydrophobicity or neutralizing a negative charge when bound to carboxylic acids. While N-methylation is typically irreversible, O-methylation is potentially reversible. Methylation occurs so often that its primary methyl donor, S-adenosyl methionine (SAM), is one of the most-used enzymatic substrates after ATP. The methylation of a histone protein is shown in Figure \(\PageIndex{12}\).

    methylLys.svg
    Figure \(\PageIndex{12}\): Methylation of a histone protein by SAM

    This modification (not unlike phosphorylation reactions) plays a role in regulation of protein-protein interactions. For instance, the arginine methylation of proteins can either inhibit or promote protein-protein interactions depending on the type of methylation. Protein methylation is also a common modification found in histone proteins. The transfer of methyl groups from S-adenosyl methionine to histones is catalyzed by enzymes known as histone methyltransferases. The N-terminal tails of histones H3 and H4 receive methyl groups on specific lysines. Methylation then determines if gene transcription is activated or repressed, thus leading to different biological outcomes.

    Histone methylation was traditionally thought to be irreversible. However, histone demethylases demonstrate the reversibility of this PTM. The simultaneous removal of one histone methylation and the addition of another can enable transcriptional fine-tuning.

    In addition to methylation, histone acetylation, deacetylation, and mono-ubiquitination are also essential parts of gene regulation, as shown in Figure \(\PageIndex{13\) below. Acetylation removes the positive charge on the histones, thereby decreasing the interaction of the N termini of histones with the negatively charged phosphate groups of DNA. As a consequence, condensed chromatin is transformed into a more relaxed structure associated with greater levels of gene transcription.

    Nonhistone proteins also exhibit methylation as a common PTM which regulates signal transduction pathways. Furthermore, methylation works in concert with other types of PTMs, to exert influence on not only chromatin remodeling but also gene transcription, protein synthesis, and DNA repair.

    Some-of-the-key-histone-modifications-influencing-gene-expression-Me-methylation-Ub.jpg
    Figure \(\PageIndex{13\): Some of the key histone modifications influencing gene expression (Me: methylation, Ub: ubiquination, Ac: acetylation). Figure from: Ullah, M.F. (2015) Medicines 2:141-156.

    Allosteric Regulation

    Allosteric regulation fine-tunes most biological processes, including signal transduction, enzyme activity, metabolism and transport. Allostery, an intrinsic property of a protein, is referred to as the regulation of activity at one site (also known as an orthosteric site) in a protein by a topographically and spatially distant site; the latter is designated as an allosteric site. Allosteric regulation occurs through the binding of a modulator (e.g., small molecule or protein) at an allosteric site to engender a conformational change that affects function at the orthosteric site. This effect may cause the re-distribution of the conformational ensemble by either stabilizing an active conformation (allosteric activation) or destabilizing an inactive conformation (allosteric inhibition) in response to allosteric perturbations (Figure 8.13). Traditionally, the repertoire of allostery was primarily confined to determining the allosteric effects or mechanisms in individual multi-subunit or monomer proteins by conformational transitions. Recently, increasing evidence has indicated that allosteric signals can propagate across several or numerous proteins to sculpt allosteric networks.

    Allosteric regulation is particularly important in the cell's ability to adjust enzyme activity based on the surrounding environmental conditions. Feedback control loops, such as feedback inhibition from downstream products or feedforward from upstream substrates are common allosteric regulatory mechanisms found in nature. Another example of allostery includes oxygen binding to one of the subunits of hemoglobin that prompts cooperative binding to other subunits.

    We mentioned before that PTMs can lead to conformational changes in proteins. Other methods to induce such allosteric changes include the binding of small molecules, the binding of proteins, changes in the redox environment of a protein, which affects disulfide bonds, and general changes in protein flexibility and dynamics. Let's look at some examples of allostery brought about by these changes. Many of these examples are presented by Laskowski et al ( https://doi.org/10.1016/j.febslet.2009.03.019).

    Allosterism by small molecules: opening and closing active sites

    Small molecule binding at an allosteric site can lead to small and large conformation changes in a distal active site. An often observed motion is a partial or full hinge-clamping conformational change that brings critical catalytic groups into a more organized and effective active site, which excludes water as a competing hydrolytic substrate (for example). One example of a small hinge-clamping change is seen in phosphoglycerate dehydrogenase (PGDH, which catalyzes the first step (oxidation by NAD+) in the synthesis of serine. It converts 3-phosphoglycerate into 3-phosphohydropyruvate. The end product of the pathway, serine, binds to an allosteric site on PGDH and inhibits it, a classic example of feedback inhibition of the first reaction of a pathway by the end product. PGDH has a regulatory binding domain (RBD) that binds serine, a substrate binding domain (SBD) and an NAD+/NADH binding domain (NBD) which is where the allosteric inhibitor binds, plus binding domains for substrate (SBD) and the NAD nucleotide (NBD). Figure \(\PageIndex{14}\) shows the small hinge-bending conformational change on bind conversion of monomeric apo-PGDH (1psd) to holo-PGDH with serine (not shown) bound in the RBD allosteric domain. The RBD-SBD domains, relative to the NBD domain, undergoes a 15° rotation.

    FullChain1psd_1ybaAnimation.gif
    Figure \(\PageIndex{14}\): Small hinge-bending conformational changes on bind conversion of monomeric apo-PGDH (1psd) to holo-PGDH on binding the allosteric end-product inhibitor serine (not shown)

    The functional enzyme is a tetramer (only the monomer is shown in the above figure). The rotation in the full tetramer aligns catalytic residues and closes off the active site.

    Conformational changes are ubiquitous on the binding of ligands to protein. These changes also occur on substrate binding at the active site. It is important to recognize substrate-induced changes in the active site are not allosteric changes since the conformational changes, no matter how big, are caused by binding at the active site, not at an allosteric site. A classic example of a huge conformational change on binding of substrate is elicited by the binding of glucose or glucose analogs to the active site of hexokinase, the first enzyme in the glycolytic pathway. Figure \(\PageIndex{15}\) shows the large conformational change on binding a glucose analog to hexokinase (1hkg, no glucose; 2yhx, with glucose analog). The background is shown in black to remind readers that this is NOT an example of allosterism, although the changes facilitate catalysis by excluding water, a competing substrate) from the active site after glucose and ATP (not shown) bind. On binding the glucose analog in the active, the active site becomes sequestered ("jaw" clamping down on binding).

    hexokinase_1hkgto2yhxwithGlc.gif
    Figure \(\PageIndex{15}\): Large, substrate-induced (non-allosteric) conformational change on binding a glucose analog to (1hkg, no glucose to 2yhx, with a glucose analog.

    Allosterism by small molecules: Subtile electrostatic effects

    Often no large conformation change is evident in the protein. In those cases, subtle rearrangements of key residues in the active site or near it (which might promote access) may be the result of allosteric effector binding. A simple change in the electrostatic environment might account for the effect. Such appears to be the case with chorismate mutase, an enzyme in the bacterial, fungal, and plant pathways for the synthesis of aromatic amino acids tyrosine and phenylalanine. The enzyme catalyzes the conversion of chorismate to prephenate, which proceeds on to the aromatic amino acids. An offshoot pathway takes chorismate to the last aromatic amino acid tryptophan. The enzyme chorismate mutase then is key in the metabolic decision pathway to make tyrosine/phenylalanine or tryptophan. The enzyme is activated by tryptophan and inhibited by tyrosine. The aligned sequences of two crystal structures of the enzyme with the bound allosteric activator tryptophan (Trp 502 in pdb structure 1csm showing a magenta glutamic acid 23) and with bound inhibitor (Tyr 300 in pdb structure 2csmA showing cyan Glu 23) are shown in Figure \(\PageIndex{16}\):

    chorismate mutase-1csm and 2csm -E23_Modifiers.png
    Figure \(\PageIndex{16}\): Aligned structures of chorismate mutase with bound allosteric activator tryptophan (Trp 502 , pdbID 1csm , magenta glutamic acid 23) and with bound inhibitor (Tyr 300 pdbID 2csmA, cyan Glu 23)

    There are no significant changes in the overall structure of the protein or in its active site. However, the alignment of glutamic acid 23 is different, and this may be the basis for the observed allosteric effects. When active, glutamic acid 23 is buried in the active site pocket, but in the inhibited site, it swings into the binding site. Since the chorismate is a charged dicarboxylic acid, Glu 23 probably repels its binding, inhibiting the enzyme's activity.

    Allosterism by phosphorylation

    We'll focus on one example of a huge conformational change on phosphorylation of a serine side chain in glycogen phosphorylase (GP), an enzyme that catalyzes the phosphorolysis of an acetal link between a terminal glucose on a glucose polymer, glycogen, and the next glucose in the chain. This reaction is not a hydrolysis, in which water acts as a nucleophile to cleave acetal bonds. This is a key reaction in metabolism since it cleaves a major energy storage molecule, glycogen.

    The enzyme is a multimer that exists in two major states, a T-state and R-state glycogen phosphorylase (GP). We've explored T and R states and allosterism in their interconversion when we discussed the binding of oxygen to hemoglobin in Chapter 5.3. Crystal structures of the T and R-state bound to allosteric activators IMP and AMP are known. High AMP concentrations imply low ATP concentrations and the need to mobilize glycogen reserves. Conversion to the R state is also promoted by the phosphorylation of Seriner14, which activates the enzyme. The allosteric activators AMP and IMP bind to a disordered loop (313-326) and change it to a form promoted by nucleotide binding. which is disordered in the free structure, and adopts a conformation dictated mainly by the type of nucleotide that binds at this site. Figure \(\PageIndex{17}\) shows a monomer of the European rabbit glycogen phosphorylase in the R (active) state bound to AMP (3e3n).

    Rstate_3E3NA_Ser14PO4.png
    Figure \(\PageIndex{17}\): Monomer of the European rabbit glycogen phosphorylase in the R (active) state bound to AMP (3e3n).

    Only one chain of the active homodimer is shown. The helix containing the phospho-Ser 14 swings away from the rest of the protein.

    Figure \(\PageIndex{18}\) shows the difference between the T (inactive) state of rabbit muscle glycogen phosphorylase (7P7D) and the R (active) state (3e3n, neither phospho-Ser 14 or AMP shown). Note the huge conformational state elicited on phosphorylation of Ser 13.

    glycogenphosphorylase7p7dTto3e3naRV2.gif
    Figure \(\PageIndex{18}\): Conformational changes going from T (inactive) state of rabbit muscle glycogen phosphorylase (7P7D) to the R (active) state (3e3n) on phosphorylation of Ser 13.

    Allosterism by small molecules: control of quaternary structure

    The binding of small molecules at allosteric sites may promote or inhibit the formation of the correct functional multimeric structure of a protein. One example is ATP phosphoribosyltransferase (APRT), which catalyzes the first step in the synthesis of histidine. As we saw with phosphoglycerate dehydrogenase (PGDH), APRT has three domains. I and II comprise the active site that is located between them, and a regulatory domain, III (the functional protein is a dimer). As with PGDH, APRT is allosterically inhibited by the end product of the pathway, histidine. On histidine binding to the inactive form (1nh7), a large conformational change results (1nh8), as shown in Figure \(\PageIndex{19}\).

    1nh71nh8_align1sec.gif
    Figure \(\PageIndex{19}\): Conformational changes on pathway end product histidine binding to the inactive form (1nh7) form of ATP phosphoribosyltransferase (APRT) inactivating the enzyme (1nh8)

    This change drives the formation of a hexamer - (dimer)3, which closes off the active site and inactivates the enzyme. The enzyme ribonuclease reductase behaves similarly.

    Allosteric by protein binding

    Another protein can bind to an enzyme and activate it by promoting an allosteric change. An example is the binding of a regulatory protein CyclinA to cyclin-dependent kinase 2 (CDK2). On binding of cyclin to one side of CDK2's catalytic cleft, a large conformational change occurs, which activates the enzyme by altering active site geometry and making the active site more accessible. CDK enzymes are involved in cell-cycle progression. For more control of the cell cycle, both the binding of cyclin and the phosphorylation of CDK2 are required for activity. On binding cyclin, the active site is more available for substrate (ATP) binding. Next, the amino acid that needs to be phosphorylated for activation, Thr 16, is made accessible. Figure \(\PageIndex{20}\) shows the conformational change in apo-CDK2 (1hc1) on cyclin binding, which allows ATP binding (1fin).

    1hc1_1fin_CDK2_cyclinATPAnim.gif
    Figure \(\PageIndex{20}\) show the conformational change in apo-CDK2 (1hc1) on cyclin binding which allows ATP binding (1fin).

    Cyclin (the regulatory protein) is shown in gray. ATP is shown in spacefill. CDK2 is shown as a colored cartoon.

    Allosterism by disulfide bonds

    It should make sense that cleaving an intrachain or interchain disulfide, whose presence constraint a specific protein conformation, should significantly alter protein structure and function. One example is the protein botulinum neurotoxin type A. It is neurotoxin and Zn protease that cleaves proteins like synaptobrevins, syntaxin and SNAP-25 in the neurosynapase that are required for neurotransmitter release.

    It has a catalytic (Zn peptidase/protease) and a translocation domain in a single protein chain that contains two disulfide bonds when synthesized protein (PDB code 3bta). On cleavage at a select peptide bond, it is split into A and B chains, which remain connected by a single disulfide bond, with the A chain containing the catalytic domain. The B chain contains the translocation domain, which effectively still blocks the active site of the peptidase/protease domain. The disulfides are cleaved when the protein enters an endosome, which contains a more reducing environment. The separate A chain now separates for the inhibiting B domain and expresses protease activity. The active protein then enters the cytoplasm.

    Figure \(\PageIndex{21}\) shows the domain structure and disulfide bonds of the unprocessed form. The N-terminal Zn proteinase domain (Peptidase_M27, amino acids 1-409) is followed by an intrachain disulfide between C429 and C 453.

    Botulinum neurotoxin typeA_pfam_domainstruct.png
    Figure \(\PageIndex{21}\): The domain structure and disulfide bonds of the unprocessed form of botulinum neurotoxin type A

    The mature form is proteolyzed between amino acids 447 and 448 (within the sequences connected by the disulfide (429-453). The protein remains inactive until the disulfide bond is cleaved.

    Figure \(\PageIndex{22}\) shows an interactive iCn3D model of botulinum neurotoxin type A (3bta).

    3bta_botulinumneurotoxin_disulfide_ismomerism.png

    NIH_NCBI_iCn3D_Banner.svg Figure \(\PageIndex{22}\): Botulinum neurotoxin type A (3bta) (Copyright; author via source).
    Click the image for a popup or use this external link: https://structure.ncbi.nlm.nih.gov/i...CfSsBH94jcPyb8

    The N-terminal Zn peptidase/protease domain is shown in color and the other regions of the protein are shown in gray. The two disulfide bonds are shown in spacefill, with CPK color. On cleavage of the disulfide bond between C429 and C453, the Zn protease domain, which is inhibited in the presence of the constraining disulfides, is released and activated.

    Allosterism by change in protein flexibility and population shifts

    Sometimes crystal structure show little difference between the apo- and holo-forms of the protein containing a separate allosteric binding site. One example is the enzyme dihydrodipicolinate synthase (DHDPS) which catalyzes the first step in the bacterial and plant pathways for lysine synthesis. DHDPS catalyzes the synthesis of 4-hydroxy-2,3,4,5-tetrahydro-2-dipicolinic acid from aspartate-β-semialdehyde and pyruvate. One explanation for allosterism in the protein is that it occurs on time scales too short to be seen in crystal or NMR structures. Rather some transient conformation might cause allosterism. Such changes are detectable in molecular dynamics simulation of the protein in the presence and absence of the allosteric effector molecule.

    This possibility suggests that the allosteric effector might change the distribution of possible transient conformational states within a population of such states. If an allosteric effector bound one of the transient states in the population, that state would be "removed" from the ensemble of states, shifting the dynamic equilibrium among the populated states to produce more of the specific conformation that binds the allosteric effector. This sounds remarkably like the T to R state conversion in the MWC model oxygen binding to hemoglobin and the allosterism discussed above with the enzyme glycogen phosphorylase only a much shorter time scale. This model is consistent with a conformational selection model in which the allosteric molecule binds preferentially to a different preexisting conformational state that exists transiently.

    Zymogen Activation

    A zymogen also called a proenzyme, is an inactive precursor of an enzyme. A zymogen requires a biochemical change (such as a hydrolysis reaction revealing the active site, or changing the configuration to reveal the active site) for it to become an active enzyme.

    Protease enzymes secreted by the pancreas are initially synthesized as zymogens. The pancreas secretes zymogens to help prevent the enzymes from inappropriately digesting proteins in the pancreatic cells in which they are synthesized. Enzymes like Trypsin are synthesized as proenzymes. For trypsin, trypsinogen is an inactive precursor that is translated in the rough endoplasmic reticulum and transported to the Golgi apparatus for sorting. Trypsinogen is always co-synthesized and packed with a pancreatic secretory trypsin inhibitor (PSTI) that inhibits its premature activation. Thus, there are two mechanisms in place to maintain the inactivity of the protease within the pancreas: (1) synthesis of the zymogen or proenzyme form, and (2) co-expression of a trypsin inhibitor protein that will bind and inhibit any prematurely cleaved trypsin until it has reached the small intestine. An animation showing structural differences between bovine trypsinogen (magenta) with just amino acids 10-15 of the presequence (spacefill orange) and mature trypsin (cyan) is shown in Figure \(\PageIndex{23}\).

    trypinogentotrypsin.gif
    Figure \(\PageIndex{23}\): Animation showing structural differences between bovine trypsinogen (magenta) with just amino acids 10-15 of the presequence (spacefill orange) and mature trypsin (cyan)

    During packaging within the Golgi system, the trypsinogen and other digestive enzymes condense into core particles and are packed in zymogen granules. The condensed enzymes are stable and minimal activation happens within the zymogen granules. Once the pancreatic cells receive secretory stimuli, these zymogen granules are released in to the lumen of the pancreatic duct, which carries the digestive enzymes into the duodenum. Once in the duodenum, enteropeptidase activates trypsinogen by removing the 7-10 amino acids trypsinogen activation peptide (TAP) from the N-terminal region (see above). Removal of TAP induces conformational change resulting in active trypsin. TAP is immunologically distinct from the same sequence within trypsinogen, thereby allowing the detection of trypsinogen activation in situ.

    Once activated, trypsin will cleave and activate other zymogen proteases and lipases present in the duodenum. These include the activation of elastase, chymotrypsin, carboxypeptidase, and lipase as shown in Figure \(\PageIndex{24}\). Zymogens are also found in other cellular processes as well. For example, intracellular proteases known as caspases, are activated in a similar manner during the process of cellular apoptosis or programmed cell death. The process of blood clotting also involves the activation of zymogens.

    Zymogen_activation.png

    Figure \(\PageIndex{24}\): Activation of proenzymes

    Isozymes

    Isozymes (also known as isoenzymes) are enzymes that differ in amino acid sequence but catalyze the same chemical reaction. These enzymes usually display different kinetic parameters (e.g. different KM or Kcat values), or different regulatory properties. The existence of isozymes permits the fine-tuning of metabolism to meet the particular needs of a given tissue or developmental stage. In many cases, isozymes are coded for by homologous genes that have been duplicated within the genome and then diverged over time. Isozymes should not be confused with allozymes, which are allelic variants of the same gene locus that are found within a population. Allozymes represent enzymes from different alleles of the same gene. Isozymes represent enzymes from different genes that process or catalyze the same reaction, or from the same gene that produces, through differential splicing of primary RNA transcripts, sequence of similar but different sequences. We will focus on isozymes within this section. Part of the regulation derived from the production of different isozymes can arise from the differential expression of isozymes.

    Isozymes are usually the result of gene duplication. Over evolutionary time, if the function of the new variant remains identical to the original, then it is likely that one or the other will be lost as mutations accumulate, resulting in a pseudogene. However, if the mutations do not immediately prevent the enzyme from functioning, but instead modify either its function or its pattern of expression, then the two variants may both be favored by natural selection and become specialized for different functions. For example, they may be expressed at different stages of development or in different tissues. Some isozymes may also arise from convergent evolution and may not share a high degree of sequence homology or common ancestry.

    The Cyclooxygenase I and II (Cox-1 and Cox-2) Isozymes

    As an example of isozymes, we will discuss cyclooxygenases COX-1 and COX-2, which are also called Prostaglandin Synthases. They regulate a key step in prostaglandin and thromboxane synthesis and are the targets of nonsteroidal antiinflammatory drugs (NSAIDs), such as aspirin, ibuprofen, naproxen and celebrix (Figure \(\PageIndex{25}\)). The prostaglandins (PG) are a group of physiologically active lipid compounds called eicosanoids having diverse hormone-like effects in animals. Prostaglandins have been found in almost every tissue in humans and other animals. They are derived enzymatically from the fatty acid arachidonic acid. Every prostaglandin contains 20 carbon atoms, including a 5-carbon ring. They are a subclass of eicosanoids and of the prostanoid class of fatty acid derivatives.

    eicosanoids-1024x592.png
    Figure \(\PageIndex{25}\): The Role of COX-1 and COX-2 in Prostaglandin Biosynthesis. (A) COX-1 and COX-2 are bifunctional enzymes that mediate the cyclooxygenase and peroxidase reactions that convert Arachidonic Acid to Prostaglandin H2. (B) Some of the physiological effects that prostaglandins, prostacyclins, and thromboxanes have on biological processes.Images from: Администрация Волгоградской области , scientific animations, and Fuzis

    Cycloxygenases are in a class of enzymes called dioxygenases, that incorporate both atoms of O2 into a substrate. We will explore the mechanism of cyclooxygenase in more detail in Chapter 13.5: Biological Oxidation and Reduction Reactions.

    The structural differences between prostaglandins account for their different biological activities. A given prostaglandin may have different and even opposite effects in different tissues. The ability of the same prostaglandin to stimulate a reaction in one tissue and inhibit the same reaction in another tissue is determined by the type of receptor to which the prostaglandin binds. They act as autocrine or paracrine factors with their target cells present in the immediate vicinity of the site of their secretion. Prostaglandins differ from endocrine hormones in that they are not produced at a specific site but in many places throughout the human body and tend to act locally once secreted. Prostaglandins are implicated in various physiological processes such as gastrointestinal cytoprotection, hemostasis and thrombosis, as well as renal hemodynamics.

    Through their role in vasodilation, prostaglandins are also involved in inflammation and can trigger the onset of a fever or the sensation of pain. They are synthesized in the walls of blood vessels. They prevent needless clot formation and regulate the contraction of smooth muscle tissue. The prostacyclins, a special class of prostaglandins, are powerful, locally-acting vasodilators and inhibit the aggregation of blood platelets. Conversely, thromboxanes (produced by platelet cells) are vasoconstrictors and facilitate platelet aggregation. Their name comes from their role in clot formation or thrombosis.

    The cyclooxygenases COX-1 and COX-2 regulate the first two steps in prostaglandin and are bifunctional enzymes containing two active sites. The first active site performs the bis-oxygenation and cyclization of arachidonic acid, whereas the second active site mediates a peroxidase (reduction) reaction to form PGH2. The enzyme is an example of a dioxygenase, which uses O2 as a substrate. The enzyme contains a heme cofactor. The functional enzyme of both COX-1 and COX-2 are homodimers of 70 kDa subunits, each having an N-terminal epidermal growth factor domain, a membrane binding domain and a C-terminal catalytic domain. The cyclooxygenase active site in on the opposite side of the peroxidase active site in the catalytic domain.

    Figure \(\PageIndex{26}\) shows an interactive iCn3D model of arachidonic acid bound to V349I murine COX-2 (6OFY). Just one chain of the dimer is shown.

    arachidonic acid bound to V349I murine COX-2 (6OFY).png

    NIH_NCBI_iCn3D_Banner.svg Figure \(\PageIndex{26}\): Arachidonic acid and heme bound to V349I murine COX-2 (6OFY) (Copyright; author via source).
    Click the image for a popup or use this external link: https://structure.ncbi.nlm.nih.gov/icn3d/share.html?gUtX3uAtwoozBvJUA

    The heme is shown in stick while the arachidonic acid is shown in spacefill. Note that arachidonic acid is very kinked and not extended due to its four cis double bonds. Three additional amino acids are highlighted that play key roles in NSAID inhibition of Cox. These include Ser 530 (in model 531), which is covalently acetylated by aspirin, and Arg 120 (in model 121) and Tyr 355 (in model 356). These play key role in binding of NSAIDs and access to the arachidonic acid binding site.

    The COX-1 enzyme is widely distributed in many tissues where it is constitutively expressed. Expression of the COX-2 isoform (shown in Figure \(\PageIndex{2}\)), on the other hand, is normally undetectable in most tissues (except for the central nervous system, kidneys, and seminal vesicles). COX-2 is induced by various inflammatory and mitogenic stimuli. More recently, a third isoform named COX-3 was identified as a COX-1 splicing variant. This new variant may play a role in processes such as fever and pain. Additionally, a high level of COX-2 expression is found in several forms of cancer. For example, COX-2 overexpression is related to poor prognosis in certain breast cancers and endometrial adenocarcinomas.

    COX-2, unlike COX-1, is induced in inflammatory cells and activated by various inflammatory and mitogenic stimuli. Under these conditions, COX-2 activity leads to the production of prostanoid mediators that trigger important inflammatory processes. Although inflammation is initially a necessary process to fight infection, if it is maintained or remains uncontrolled, it can provoke chronic pathologies and tissue damage. This is why the inhibition of COX proteins are key targets for anti-inflammatory and pain-management. Their actions are illustrated in Figure \(\PageIndex{27}\).

    NonsteroidalAntiInflammDrugsFig3.svg

    Figure \(\PageIndex{27}\): NSAID Inhibition of COX-1 and COX-2 Enzymes. The schematic representation of the COX-1 (large green figure) active site being inhibited by a nonselective NSAID (central blue figure). The entrance channel to COX-1 is blocked by the NSAID. Binding and transformation of arachidonic acid (bottom yellow figure) within COX-1 is prevented. Middle Lower Panel shows the inhibition of COX-2 by a nonselective NSAID (central blue figure). Nonselective binding uses an amino acid residue, Arg120, that is conserved in both enzymes. The right panel shows the inhibition of COX-2 by COX-2 selective NSAIDs (central red figure). The COX-2 side pocket allows specific binding of the COX-2 selective NSAID’s. The entrance channel to COX-2 is blocked. The bulkier COX-2-selective NSAID will not fit into the narrower COX-1 entrance channel, allowing COX-1 to remain active. Upper Figure by Saiz, M., Gonzalez, R., & Garcia, E., (2019) Protopedia and Lower Figure by Meek, I.L., et al. (2010) Pharmaceuticals 3(7):2146-2162.

    Nonsteroidal Antiinflammatory Drugs (NSAIDs)

    Clinically available NSAIDs can be separated into 3 different classes based upon their mechanism of action:

    • ASPIRIN: - Acts to irreversibly inhibit COX 1 & COX-2 by covalent acetylation of Ser 530 in the active site. Most notably, low doses of aspirin can suppress platelet COX-1 activity by 95% or more, an effect that is permanent for the lifetime of the platelet, since platelets lack DNA and cannot synthesize new enzymes. Due to aspirin's antithrombotic properties at low doses, this treatment has been found to have cardioprotective effects and is often prescribed for patients at high risk of myocardial infarction. All other NSAIDs interact with COX isoforms reversibly and produce variable COX inhibition (ranging from 50% to 95%) in a time-dependent fashion based on how quickly they are metabolized in the body.
    • NON-SELECTIVE COX INHIBITORS: Different non-selective NSAIDs have varying inhibitory effects against COX-1 & COX-2 (Figure 8.3). The two most commonly used over-the-counter drugs in this group (ibuprofen & naproxen) produce reversible platelet inhibition ranging from 50 to 95% in a reversible, time-dependent manner (more on this below). These NSAIDs may be insufficient to provide cardio-protection throughout a commonly used dosing interval and are not commonly used for this purpose. Ketorolac (Toradol ®), an NSAID most commonly used in a hospital setting to treat moderately severe pain, is classified as a non-selective NSAID, although it is arguably, a very selective for COX-1 inhibitor (Figure 8.3). Inhibition of COX-1 can result in unwanted side effects, such as gastrointestinal discomfort and in severe cases, ulceration.
    • COXIBS: Selective COX-2 inhibitors were designed and marketed to treat pain and inflammation, while avoiding the GI side effects. However soon after they were introduced into the market, their use led to the first reported incidence of increased cardiovascular events (myocardial infarction and stroke) in 2004. Rofecoxib (Vioxx ®), one of the most selective COX-2 inhibitors was removed from the market because of mounting evidence for significant cardiovascular toxicity (Drazen, 2005). Celecoxib (Celebrex ®) is currently the only FDA approved coxib available in the US, and it has been given a black box warning indicating the potential risk of cardiovascular toxicity. It has a 10-20 fold selectivity for COX-2 over COX-1. Etoricoxib (Arcoxia ®) is a second coxib with ~106 fold selectivity for COX-2 over COX-1 that is available outside of the United States.
    Figure \(\PageIndex{28}\) shows Selectivity and Treatment Efficacy of Nonsteroidal Anti-inflammatory Drugs (NSAIDs).
    cox-inhibitors-976x1024.png
    Figure \(\PageIndex{28}\): Selectivity and Treatment Efficacy of Nonsteroidal Anti-inflammatory Drugs (NSAIDs). (A) Relative COX-1 & COX-2 selectivity for commonly used non-aspirin NSAIDs. Celecoxib (Celebrex ®) is the only COX-2 selective NSAID on the market in the US. Adapted from Danelich et al (2015). (B) Major physiological roles for COX-1 & COX-2, and mechanisms underlying drug-induced side effects. PGI2: prostacyclin, TXA2: thromboxane.Figures from: Clarkson, C.W. (2018) TUSOM Pharmwiki

    The structures of ibuprofen (Advil), naproxen, aspirin, celebrix and acetaminophen (Tylenol, which reduces fever and pain but not inflammation so its not a NSAID) are shown in Figure \(\PageIndex{29}\).

    ibuprofen naproxen.svg
    Figure \(\PageIndex{29}\): Structures of ibuprofen, naproxen, celebrix (NSAIDs) and acetaminophen (not an NSAID)

    Acetominophen - Tylenol

    Although this extremely popular drug relieves pain and reduces fever, it does not reduce peripheral inflammation and is hence not classified as an NSAID. It does have effects central nervous system affects. It does not appear to bind to the active site of COX-1 or COX-2 (no PDB structures available), but can reduce their activities probably either upstream or downstream of the pathways that these enzymes are part of. It does decrease prostaglandin production in the CNS, which reduces CNS pain and fever. It might act as a reducing substrate in the peroxidase site. Many proteins bind this drug. which is understandable given its relatively simple structure shown in Figure \(\PageIndex{5}\). A metabolite of it, p-aminophenol, can be esterified to arachidonic acid to produce the fatty acid amide, which can work through cannabinoid receptors to reduce pain.

    Figure \(\PageIndex{30}\) shows an interactive iCn3D model of the NSAID ibuprofen bound to cyclooxygenase-2 (4PH9). Just one chain of the functional dimer is shown.

    Ibuprofen bound to cyclooxygenase-2 (4PH9).png

    NIH_NCBI_iCn3D_Banner.svg Figure \(\PageIndex{30}\): Ibuprofen bound to cyclooxygenase-2 (4PH9). (Copyright; author via source).
    Click the image for a popup or use this external link: https://structure.ncbi.nlm.nih.gov/i...syYYjSoeZRGNU8

    Ibuprofen is sold as the racemic mixture of R and S enantiomers but it was thought that only the S isomer's inhibition of Cox II leads to its antinflammatory effects while the other isomer had no effects and no side effects. The crystal structures of IBP bound to both Cox I and II are known. At least in the mouse Cox2, the S-isomer binds more tightly than the R-isomer. Arg-120 and Tyr-355 at the entrance of the cyclooxygenase channel are important in the action of IBP in Cox2 (which are labeled in in Figure \(\PageIndex{6}\).

    As mentioned above, aspirin inhibits COXs through covalent acetylation of a key serine side chain. The other NSAIDs appear to inhibit prostaglandin H(2) synthase through blockage of the channel for arachidonic acid binding. This should make you think that they act as competitive inhibitors, which is true for ibuprofen and a derivative, methyl flurbiprofen. However, the effect of two others NSAIDs, aclofenac and flurbiprofen, seems to have an added time component not found in simple competitive inhibition model. They are called slow tight-binding inhibitors and a simple model describing it is shown in Figure \(\PageIndex{31}\).

    SlowBindInhibition.svg
    Figure \(\PageIndex{31}\): Model for slow binding inhibition

    A time step suggests a conformational change after initial binding. Yet crystal studies of the four inhibitors mentioned above show that the NSAID-occupied active sites are essentially the same, suggesting no major global conformational change. It may be that the rate involves slow hydrogen bonding around two key residues, Arg 120 and Tyr 355.

    Slow binding and slow tight-binding inhibition

    All the enzyme inhibition models we discussed in Chapter 6.4 are based on reversible rapid equilibrium binding of an inhibitor to E (competitive), ES (uncompetitive), and E and ES (mixed/noncompetitive). Equations can be derived for slow binding inhibition and for slow tight-binding. In these models, the degree of inhibition at a fixed concentration of the inhibitor changes with time to establish an "equilibrium" among all species. The model above works for both. Both types of inhibitors (slow and slow-tight) inhibit enzymes in a time-depended fashion. In slow binding, it takes longer to establish equilibrium among the three species, E, EI and EI*. In slow binding, the steps determining the concentration of EI (k3I and k-3) are assumed to be fast compared to those involved in determining the concentration of EI* (k4 and k-4). When [I] >> [E], the following dissociation constants for pure competitive (KIS = KC) and for the slow binding inhibition (KI), which accounts for mass balance, hold.

    \begin{equation}
    \mathrm{K}_{\mathrm{IS}}=\mathrm{K}_{\mathrm{C}}=\frac{[\mathrm{E}][\mathrm{I}]}{[\mathrm{EI}]}
    \end{equation}

    \begin{equation}
    \mathrm{K}_{\mathrm{I}}^{*}=\frac{[\mathrm{E}][\mathrm{I}]}{[\mathrm{EI}]+\left[\mathrm{EI}^{*}\right]}
    \end{equation}

    In initial rate Michaelis-Menten kinetics, v0 is measured as a function of [S]. The initial rate v0 is determined by measuring [P] vs t in the beginning of the reaction when the substrate is not depleted. Valid v0 values require that [P] vs t curves are linear. The slope of that line is the initial velocity, v0. This is true for uninhibited and reversibly inhibited (competitive, uncompetitive, and mixed) reactions. However, with slow binding inhibition, the [P] vs t curves bend with time as the slower formation of EI* occurs. It's a bit like the pre-steady state assumption in enzyme kinetics. At very short times (msec), the P vs t curves bend as a steady state emerges. It's the same with slow binding inhibition. This is illustrated in Figure \(\PageIndex{32}\).

    slowbindinginhibitorsNeuralPharm.svg
    Figure \(\PageIndex{32}\): P vs t curves for uninhibited (green), classical inhibition (red) and slow binding inhibition (gold)

    A progress curve equation showing [P] vs t for slow binding in inhibition is shown below without inhibition.

    \begin{equation}
    [\mathrm{P}]=\mathrm{v}_{\mathrm{s}} \mathrm{t}+\frac{\left(\mathrm{v}_{\mathrm{o}}-\mathrm{v}_{\mathrm{s}}\right)\left(1-\mathrm{e}^{-\mathrm{k}_{\mathrm{a}} \mathrm{t}}\right)}{\mathrm{k}_{\mathrm{a}}}+\mathrm{C}
    \end{equation}

    In this equation, ka is the apparent first-order rate constant to the development of the steady state at a given substrate and inhibitor concentration, v0 is the very first initial rate and vs is the steady-state rate.

    Slow tight-binding inhibition occurs when the rate constants for net production of EI* are fast compared to the step for the formation of EI. In this case, even small amounts of I will produce EI* as the reaction is pulled to EI*, and more complicated equations must be used to determine product vs time equations.

    Other chemical models could also account for slow binding inhibition. These include a slow binding rate constant k4, a slow isomerization of EI after fast binding of I, or a slow binding to a specific, low population conformation of enzyme in a process called conformational selection. Slow-binding inhibitors of enzymes (such as neural acetylcholine esterase) are known.

    Here is a Vcell simulation showing progress curves for an uninhibited reactions, one in the presence of a competitive inhibitor and one in the presence of a slow (competitive) inhibitor.


    VCellLogo.png MODEL

    Comparison No Inhibition, Competitive Inhibition, and Slow (Competitive) Inhibition

    Vcell reaction diagram with all equations based on mass action (not Michael-Menten kinetics)

    SlowInhibition2.svg

    Concentrations

    • A, B and C (substrates), t0 = 1 uM
    • I1 and I(inhibitors) = 1 uM
    • E, E1 and E2 (enzymes) at t0 = 0.1 uM 
    • P, Q and R (products) at t0 = 0 uM

    Rate Constants

    All forward (kf) and reverse (kr) rate constants are set initially to 1 except for

    • kr2 for all reactions = 0 and kf4 = 1.

    Select Load [model name] below

     Select Start to begin the simulation.

    Interactive Element

    Only plots of P, Q and R (products) are initially shown.  Select Plot to change Y axis min/max, then Reset and Play  |  Select Slider to change which constants are displayed |  Select About  for software information.

    Move the sliders to change the constants and see changes in the displayed graph in real-time.

    Time course model made using Virtual Cell (Vcell), The Center for Cell Analysis & Modeling, at UConn Health.  Funded by NIH/NIGMS (R24 GM137787); Web simulation software (miniSidewinder) from Bartholomew Jardine and Herbert M. Sauro, University of Washington.  Funded by NIH/NIGMS (RO1-GM123032-04)


     

    Coxibs and the Thromboxane/Prostacyclin Imbalance Hypothesis

    Previous research indicates that in the cardiovascular system, a greater inhibition of COX-2 vs COX-1 (as produced by COX-2 selective “coxibs”) can tip the normal balance between the effects produced by prostacyclin & thromboxane, resulting in an increased likelihood for platelet aggregation and vasoconstriction. These effects can help to explain the higher incidence of myocardial infarction and stroke observed when these drugs have been used clinically. The mechanisms involved are illustrated in Figure \(\PageIndex{33}\).

    Figure \(\PageIndex{33}\): COX-2 Inhibitors & Cardiovascular Risk. Figure from: Clarkson, C.W. (2018) TUSOM Pharmwiki

    The left graphic illustrates the normal balanced effect between prostacyclin (PGI2) and Thromboxane (TXA2). PGI2 is produced primarily by COX-2 activity in the endothelial cell wall of blood vessels. PGI2 produces vasodilation, and inhibits platelet activation. In contrast, TXA2 is produced primarily by COX-1 activity inside platelets, and produces vasoconstriction and enhanced platelet aggregation. When there is a balanced effect of both PGI2 & TXA2, normal vascular homeostasis is maintained. However, when the balance is tipped in favor of TXA2 formation after selective inhibition of COX-2 (right graphic), vasoconstriction and platelet clumping are more likely to occur, potentially causing an increased risk for cardiovascular events such as myocardial infarction and stroke. Overall, the COX-1/COX-2 isozyme example sheds light on the complexity of biological systems and the ability for slight adjustments in gene expression to create varied and tissue-specific responses.

    Some References

    1. Shen, Q., Wang, G., Li, S., Liu, X., Lu, S., Chen, Z., Song, K., Yan, J., Geng, L, Huang, Z., Huang, W., Chen, G., and Zhang, J. (2016) ASDv3.0: Unraveling allosteric regulation with structural mechanisms and biological networks. Nucleic Acids Research 44(D1):D527-D535. Available at: https://academic.oup.com/nar/article/44/D1/D527/2503129
    2. Wikipedia contributors. (2020, January 19). Isozyme. In Wikipedia, The Free Encyclopedia. Retrieved 03:42, May 19, 2020, from https://en.Wikipedia.org/w/index.php?title=Isozyme&oldid=936548836
    3. Wikipedia contributors. (2020, April 30). COX-2 inhibitor. In Wikipedia, The Free Encyclopedia. Retrieved 07:00, May 22, 2020, from en.Wikipedia.org/w/index.php?title=COX-2_inhibitor&oldid=954080651
    4. Clarkson, C.W. (2018) Major Side Effects of NSAIDs and COX-2 Selective Inhibitors. TUSOM Pharmwiki. Available at: http://tmedweb.tulane.edu/pharmwiki/doku.php/nsaid_side_effects?do=
    5. Santos, A.L. and Lindner, A.B. (2017) Protein Porsttranslational Modifications: Roles in Aging and Age-Related Disease. Oxidative Medicine and Cellular Longevity, Article ID: 5716409. Available at: https://www.hindawi.com/journals/omcl/2017/5716409/#copyright
    6. Wikipedia contributors. (2020, May 12). Protein phosphorylation. In Wikipedia, The Free Encyclopedia. Retrieved 17:38, May 25, 2020, from en.Wikipedia.org/w/index.php?title=Protein_phosphorylation&oldid=956228409
    7. Szylveszter, K.P., Németh, T., and Mócsai, A. (2019) Tyrosine Kinases in Autoimmune and Inflammatory Skin Diseases. Front. Immunol. 10.3389(2019.01862). Available at: https://www.frontiersin.org/articles/10.3389/fimmu.2019.01862/full
    8. Wikipedia contributors. (2020, May 7). Histone. In Wikipedia, The Free Encyclopedia. Retrieved 21:12, May 25, 2020, from en.Wikipedia.org/w/index.php?title=Histone&oldid=955458038
    9. Wikipedia contributors. (2020, May 13). Mucin. In Wikipedia, The Free Encyclopedia. Retrieved 01:10, June 7, 2020, from en.Wikipedia.org/w/index.php?title=Mucin&oldid=956387296
    10. Wikipedia contributors. (2020, March 15). Allosteric regulation. In Wikipedia, The Free Encyclopedia. Retrieved 04:07, June 7, 2020, from en.Wikipedia.org/w/index.php?title=Allosteric_regulation&oldid=945637073
    11. Dixit, Ajay. Dawra, Rajinder K. Dudeja, Vikas. Saluja, Ashok K. (2016). Role of trypsinogen activation in genesis of pancreatitis.
      Pancreapedia: Exocrine Pancreas Knowledge Base, DOI: 10.3998/panc.2016.25
    12. Coll-Martinez, B., and Crosas, B. (2019) How the 26S Proteasome Degrades Ubiquitinated Proteins in teh Cell. Biomolecules 9(9):395. Retrieved from: https://www.mdpi.com/2218-273X/9/9/395
    13. Liu, W., Tang, X., Qi, X., Ghimire, S., Ma, R., Li, S., Zhang, N., and Si H. (2020) The Ubiquitin Conjugating Enzyme: An Important Ubiquitin Transfer Platform in Ubiquitin-Proteosome System. Int J Mol Sci 21(8):2894. Retrieved from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215765/

    This page titled 6.5: Enzyme and Protein Regulation is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Henry Jakubowski and Patricia Flatt.