Jia’s team developed a protocol to improve the screening of protein pockets. This involved identifying the pockets, removing ...

Fully open source model accurately predicts the 3D structures of proteins and biomolecules in silico, and serves as a foundational model for next generation of cutting-edge Protein AI tools The ...

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 ...

Scientists at St. Jude Children's Research Hospital have created a database that provides updated predicted structures on a regular basis, ensuring scientists can work with the most current ...

Google DeepMind’s work with AlphaFold has been nothing short of a miracle, but it is computationally expensive. With that in mind, Apple researchers set off to develop an alternative method to use AI ...

CASP, the protein structure prediction contest that launched DeepMind’s AlphaFold to international fame and a Nobel Prize, has secured temporary funding to continue operations. The organization’s ...

Chinese researchers have developed an artificial intelligence-powered virtual drug screening platform that achieves a ...

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.