The UK-led OpenBind initiative has reached a major milestone with the release of its first publicly available dataset and ...

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 ...

This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...

DAVIS, Calif.--(BUSINESS WIRE)--The OpenFold Consortium, a leading nonprofit artificial intelligence (AI) research consortium, today announced a preview release of OpenFold3, an open-source deep ...

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...

Recent advances in high-throughput proteomics enable the measurement of thousands of proteins simultaneously, offering unprecedented insight into human health and disease. A new review summarizes how ...

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 ...

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.

The rapid advances in machine learning (ML) and artificial intelligence (AI) are transforming biology and opening new directions for scientific inquiry.

Dr. Simon Sumer explains how AI‑driven protein design is shortening development cycles, improving screening efficiency, and ...