Advancing protein evolution with inverse folding models integrating structural and evolutionary constraints
Advancing protein evolution with inverse folding models integrating structural and evolutionary constraintsAn AI-informed approach integrates generic protein inverse folding models with structural and evolutionary constraints to efficiently identify high-fitness mutations, enabling the development of advanced base editors and demonstrating broad scalability for artificial protein evolution.An AI-informed approach integrates generic protein inverse folding models with structural and evolutionary constraints to efficiently identify high-fitness mutations, enabling the development of advanced base editors and demonstrating broad scalability for artificial protein evolution.Hongyuan Fei, Yunjia Li, Yijing Liu, Jingjing Wei, Aojie Chen, Caixia Gaohttps://www.cell.com/cell/fulltext/S0092-8674(25)00680-4?rss=yeshttp://www.cell.com/cell/inpress.rssCellCell RSS feed.Wireless News CampaignJuly 8, 2025
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