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Rafael Rafailov

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Open access Aug 2026

Aligning protein-generative models to experimental fitness with ProteinDPO.

This work demonstrates how to provide task-specific information without losing the general knowledge learned during pretraining by using direct preference optimization to align a structure-conditioned protein language model to preferentially generate stable protein sequences.

Talal Widatalla, Ashir Borah, Samuel H. King et al. · 0 citations