The document provides exercises and instructions for using machine learning/AI algorithms to predict protein structures, functions, and interactions, as well as design proteins with specific functions...The document provides exercises and instructions for using machine learning/AI algorithms to predict protein structures, functions, and interactions, as well as design proteins with specific functions. It emphasizes the use of tools such as AlphaFold, ESMFold, and iCn3D for modeling and rendering structures and interacting domains.
The page discusses the integration of natural language processing (NLP) and machine learning techniques for understanding and predicting protein structures and functions, focusing on protein language ...The page discusses the integration of natural language processing (NLP) and machine learning techniques for understanding and predicting protein structures and functions, focusing on protein language models (pLMs) like AlphaFold. It explains key concepts like transformers, attention mechanisms, and tokenization, and explores applications in protein structure and function prediction, protein-protein interactions, and protein sequence generation.
