Protein function prediction and annotation represent critical challenges in the post‐genomic era. As high‐throughput sequencing continues to generate vast amounts of protein data, computational ...

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 ...

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 ...

Protein language models are artificial intelligence tools which help engineer proteins with useful properties, including ...

The shape, or structure, of proteins determines how they work, making it essential for researchers to have access to high-quality structural models. St. Jude Children's Research Hospital investigators ...

AI language models, used to generate human-like text to power chatbots and create content, are also revolutionizing biology by treating complex biological data like a language. Language models are ...

Using bright X-rays from the Department of Energy's SLAC National Accelerator Laboratory and Lawrence Berkeley National ...

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