Protein Structure Prediction, Design, and Computed Structure Models
the PDB archive made protein structure prediction and protein design possible
Researchers have long used the wealth of experimentally-determined structures available from the open-access PDB archive to understand basic principles of protein architecture. More recently, PDB structures have been used as training data for Artificial Intelligence/Machine Learning software tools (e.g., AlphFold, RosettaFold, OpenFold) that are able to predict three-dimensional structures of proteins and design proteins with novel shapes and biochemical functions.
