BoltzGen generates protein binders for any biological target from scratch, expanding AI’s reach from understanding biology toward engineering it.
Professor Caroline Uhler discusses her work at the Schmidt Center, thorny problems in math, and the ongoing quest to understand some of the most complex interactions in biology.
Read MoreA new approach can reveal the features AI models use to predict proteins that might make good drug or vaccine targets.
Read MoreTrained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.
Read MoreThe programmable proteins are compact, modular, and can be directed to modify DNA in human cells.
Read MoreFragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.
Read MoreWhitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.
Read More
You must be logged in to post a comment.