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

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 ...

Australian company OmnigeniQ has revealed the first computer model of a human protein as it exists in the body, confirming that native protein ...

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 ...

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 ...

Researchers at the Nano Life Science Institute (WPI-NanoLSI), Kanazawa University observe and model how the enzyme ADAR1 interacts with double-stranded RNA, which may be useful for future cancer ...

Proteins are the workhorses that keep our cells running, and there are many thousands of types of proteins in our cells, each ...

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 ...

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

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 ...