Accelerating protein engineering with fitness landscape modelling and reinforcement learning
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H Sun, L He, P Deng, G Liu, Z Zhao, Y Jiang…
Nature Machine …, 2025
nature.com
Protein engineering holds substantial promise for designing proteins with customized functions, yet the vast landscape of potential mutations versus limited laboratory capacity constrains the discovery of optimal sequences. Here, to address this, we present the μProtein framework, which accelerates protein engineering by combining μFormer, a deep learning model for accurate mutational effect prediction, with μSearch, a reinforcement learning algorithm designed to efficiently navigate the protein fitness landscape using …
