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 ...
The Rocklin Lab at Northwestern University today announced the release of the MGnify Stability Dataset, a large-scale experimental resource containing folding stability measurements for 1.8 million ...
Morning Overview on MSN
Protein-design AI has become a black box even its creators can't read — and scientists just laid out a plan to force it to show its work
The AI systems designing new proteins are getting remarkably good at their jobs. They generate novel molecular structures ...
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 ...
Researchers studying the dark proteome are investigating proteins that lack clear structures or known functions. Experts, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results