Artificial Intelligence Accurately Predicts Protein FoldingPosted on July 27th, 2021 by Dr. Francis CollinsCaption: Researchers used artificial intelligence to map hundreds of new protein structures, including this 3D view of human interleukin-12 (blue) bound to its receptor (purple). They showed that their artificial intelligence approach—which took advantage of the 170,000 proteins with known structures in a reiterative process called deep learning—could predict protein structure with amazing accuracy. In fact, it could predict most protein structures almost as accurately as other high-resolution protein mapping techniques, including today’s go-to strategies of X-ray crystallography and cryo-EM. RoseTTAFold already has solved hundreds of new protein structures, many of which represent poorly understood human proteins. Cryo-EM and other experimental mapping methods will remain essential to solve protein structures in the lab.
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