Philip Romero (@philromero.bsky.social)

AI + physics for protein engineering 🚀 Our collaboration with @anthonygitter.bsky.social is out in Nature Methods! We use synthetic data from molecular modeling to pretrain protein language models. Congrats to Sam Gelman and the team! 🔗 www.nature.com/articles/s41...

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Biophysics-based protein language models for protein engineering - Nature Methods Mutational effect transfer learning (METL) is a protein language model framework that unites machine learning and biophysical modeling. Transformer-based neural networks are pretrained on biophysical simulation data to capture fundamental relationships between protein sequence, structure and energetics. https://www.nature.com/articles/s41592-025-02776-2