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 ...

The known protein universe just got a lot bigger. A newly released artificial-intelligence tool has generated an atlas of more than one billion predicted protein structures and billions more protein ...

Within the past few years, models that can predict the structure or function of proteins have been widely used for a variety of biological applications, such as identifying drug targets and designing ...

Advances in structural biology have allowed scientists to determine molecular structures with atomic-level detail, sometimes yielding static snapshots that do not reflect the dynamism of proteins.

A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science. The study introduces BioEmu, a generative deep learning system that ...

For decades, scientists have relied on structure to understand protein function. Tools like AlphaFold have revolutionized how researchers predict and design folded proteins, allowing for new ...

Researchers from the Institute of Science and Technology Austria (ISTA) together with international collaborators have now combined several methods to shed light on how proteins ‘breathe’ and how some ...

Microsoft’s AI for Good Lab has created Seq2Symm, an open-source AI tool that helps scientists determine the 3D shapes of certain proteins, including those found in viruses. Seq2Symm uses AI to ...

Artificial intelligence can help predict a patient's risk for conditions such as sepsis, heart disease and cancer. But many ...