In protein design, gradient descent can be used to compare the structure of new proteins predicted by AlphaFold2 with the desired protein structure.

The latest version of Google DeepMind and Isomorphic Labs’ AlphaFold model can predict the structure and relationships not only of proteins, but “all of life’s molecules”, according to its ...

Meenakshi is the Editor-in-Chief at The Scientist. Her diverse science communication experience includes journalism, podcasting, and content strategy. Meenakshi earned her PhD in biophysics from the ...

In living organisms, every protein—a type of biological polymer consisting of hundreds of amino acids—carries out specific ...

David Baker, Demis Hassabis, and John Jumper share this year’s Chemistry award for their research on protein design and structure prediction. “In order to understand how proteins work, you need to ...

AI systems already work their magic in many areas of biomedical science, helping to solve protein structure, discover hidden ...

Bob and Pat Herbold Computational Biology Endowed Chair, Fred Hutch Bob and Pat Herbold Computational Biology Endowed Chair Fred Hutch Dr. Phil Bradley is a computational biologist who studies the 3-D ...

VantAI today unveiled Neo-1, the world’s most advanced atomistic foundation model and the first to unify de novo molecular ...

Researchers have identified a previously unknown bacterial protein, the structure of which is being used in the design of protein nanoparticles for the targeted delivery of anticancer drugs to tumors.