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 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 ...
The latest update to the ESM protein language model series supports binder design and protein function mapping for therapeutic discovery.
Northwestern Medicine scientists have developed a new experimental method to analyze conformational fluctuations in protein ...
In a study published in Nature Methods, a research group developed a highly sensitive proteomics method called peptide-centric local stability assay (PELSA), which enables the simultaneous ...
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 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 ...
Using MR-SPI and AlphaFold3, scientists unravel the molecular underpinnings of Alzheimer’s disease, identifying key protein changes that could reshape future treatments. Study: Deciphering proteins in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results