Functional alignment of protein language models via reinforcement learning
Protein language models (pLMs) enable generative design of novel protein sequences but remain fundamentally misaligned with protein engineering goals, as they lack explicit understanding of function and often fail to improve properties beyond those found in nature. We introduce Reinforcement Learning from eXperimental...
Nathaniel Blalock, Srinath Seshadri, Kensuke Nakamura et al.
· Nature Communications · 0 citations