Our latest deep-learning model, LigandMPNN, excels at creating proteins that interact with other diverse molecules, including small molecules, nucleic acids, and metals. We anticipate a wave of new innovations, from highly selective biosensors for diagnostics and environmental monitoring to robust scaffolds for drug development and therapeutic delivery.
“We’re incredibly excited to see new functional proteins coming from the open-sourced LigandMPNN model, which allows designers to specify atom-level constraints for sequence design problems,” said project lead Justas Dauparas, a recent postdoctoral scholar in the Baker Lab.
