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Machine learning method improves accuracy of inverse protein folding for drug design

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design proteins needed for new treatments. In their study published in the journal ...
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Machine Learning Predicts Protein Behavior, Aiding Drug Design

Researchers developed ProtGPS, an AI tool that predicts protein localization in cells and how mutations affect disease. The model identifies functional disruptions and designs novel proteins for ...