News
Structural Biology and Nobel Prizes
12/06 
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 (see the wwPDB announcement for more details).
Tthe PDB archive made protein structure prediction and protein design possible.
Visit PDB-101 to learn more about Protein Structure Prediction, Design, and Computed Structure Models.Browse PDB-101 to explore articles and resources that highlight many of the PDB structures and related experimental techniques associated with other Nobel Prizes, including a timeline of awards made in Chemistry, Physiology or Medicine, and Physics and corresponding Molecule of the Month articles.
