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Learning protein fitness landscapes with deep mutational scanning data from multiple sources.

Cell systems - 16 Aug 2023

Chen Lin, Zhang Zehong, Li Zhenghao, Li Rui, Huo Ruifeng, Chen Lifan, Wang Dingyan, Luo Xiaomin, Chen Kaixian, Liao Cangsong, Zheng Mingyue

Abstract excerpt

One of the key points of machine learning-assisted directed evolution (MLDE) is the accurate learning of the fitness landscape, a conceptual mapping from sequence variants to the desired function. Here, we describe a multi-protein training scheme that leverages the existing deep mutational scanning data from diverse proteins to aid in understanding the fitness landscape of a new protein. Proof-of-concept trials...

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PMID: 37591206
DOI: 10.1016/j.cels.2023.07.003

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