Neo-1 is the first model to unify de novo molecular generation and atomic-level structure prediction in a single model, by generating latent representations of whole molecules instead of predicting ...

A new artificial intelligence model can predict how different proteins may bind to DNA. A new artificial intelligence model developed by USC researchers and published in Nature Methods can predict how ...

The “ChatGPT moment” for biology proceeds to unfold as protein language models, or machine learning tools trained on large databases of protein sequences, work to decode the language of life with the ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

DAVIS, Calif.--(BUSINESS WIRE)--OpenFold, a non-profit artificial intelligence (AI) research consortium, today announced the release of two new tools: 1) SoloSeq, which integrates a new protein Large ...

Fully open source model accurately predicts the 3D structures of proteins and biomolecules in silico, and serves as a foundational model for next generation of cutting-edge Protein AI tools The ...

David Baker, Demis Hassabis and John M. Jumper shared the Nobel Prize in Chemistry on Wednesday for their work on protein structure. Atila Altuntas / Anadolu via Getty Images On Wednesday morning, ...

Protein scientists could improve reproducibility and coordination across the field by rallying around a small, shared set of ...

Researchers from Cleveland Clinic and IBM recently published findings in the Journal of Chemical Theory and Computation that could lay the groundwork for applying quantum computing methods to protein ...

In silico antibody accessibility analysis indicates that ectodomain epitopes are transiently exposed, while MPER epitopes are virtually always occluded in the pre-fusion trimer.