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出处
期刊:C&EN global enterprise
[American Chemical Society]
日期:2024-05-20
卷期号:102 (15): 7-7
标识
DOI:10.1021/cen-10215-scicon4
摘要
Google DeepMind , the artificial intelligence company behind the popular AlphaFold tool, has published the next generation of the application's protein structure prediction software. The new tool can predict the structures and interactions of an array of molecules, including nucleic acids, small-molecule ligands, and macromolecule modifications ( Nature 2024, DOI: 10.1038/s41586-024-07487-w ). "Every time I gave an AlphaFold 2 talk . . . people would always ask me, That's really good, but I have a DNA-binding protein. Could you just tell me how it binds the DNA?" John Jumper, a director at Google DeepMind , said during a press conference. Unlike past versions, AlphaFold 3, which was codeveloped with drug company Isomorphic Labs and first announced in October , can tackle such interactions. AlphaFold 3 shares many capabilities with the recently published RoseTTAFold All-Atom model . Though it lacks RoseTTAFold's ability to design new proteins, AlphaFold 3 has one big
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