2 docs tagged with "AF2BIND"

AF2BIND is a logistic regression model on top of AlphaFold embeddings that predicts the probability that each residue in a protein is in a pocket.

Protein function prediction involves analyzing the amino acid sequence of a protein to determine its biological roles. Accurately predicting a protein’s function provides valuable insights, allowing scientists to identify the roles of newly discovered proteins, search for proteins suited for specific tasks, or evaluate the functionality of computer-designed proteins.