Structural biology is shifting from predicting protein shapes to uncovering broader organizational rules; AI tools like AlphaFold have made large-scale protein structure data far ...
The AI revolution in biology is built on a foundation of openness —researchers sharing data, code, and ideas freely so that others can build on them.
DAVIS, Calif.--(BUSINESS WIRE)--The OpenFold Consortium, a leading nonprofit artificial intelligence (AI) research consortium, today announced a preview release of OpenFold3, an open-source deep ...
The genomes of phages—viruses that infect bacteria—are largely composed of "dark matter": genes that encode proteins whose functions remain unknown. Less than four years ago, a team led by Prof. Rotem ...
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AI study of protein nanoribbons points to new design rules
Researchers at Pacific Northwest National Laboratory used artificial intelligence to analyze protein nanoribbons, pointing to ...
Physical interactions between proteins influence anything from cell signaling and growth to immune responses, so the ability to control these interactions is of great interest to biologists.
University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...
In a new study published in GEN’s sister peer-review journal, GEN Biotechnology, titled, “Exploring Structure-Function Relationships in Engineered Receptor Performance Using Computational Structure ...
AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...
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