OpenProtein.AI, a leader in AI-powered protein engineering software, today announced it has been selected as a performer on the Defense Advanced Research Projects Agency's (DARPA) Network of Optimal ...

Researchers developed DeepAFM, an AI-based method that removes noise from protein imaging data and accurately identifies ...

Protein language models are accelerating biotech but largely operate as black boxes. In Nature Machine Intelligence, researchers at the Centre for Genomic Regulation (CRG) publish the most ...

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

Physical interactions between proteins influence anything from cell signaling and growth to immune responses, so the ability to control these interactions is of great interest to biologists.

Shown here is an Illustration of predicted binding modes between a large, flexible ligand and its protein receptor, depicting the dynamics influencing the strength of the molecular interactions. By ...