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Keyword: green fluorescent protein ×Clear all

2 claims from 1 paper

1. Biochemistry, Genetics and Molecular Biology › Protein Structure and Dynamics

   Low-N protein engineering with data-efficient deep learning

   Biswas, Khimulya, Alley, Esvelt and Church · Nature Methods · 2021

   The paper presents a machine learning approach that uses as few as 24 assayed mutants to build a virtual fitness landscape and screen ten million sequences in silico to engineer proteins.

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   1. UncheckedIn two unrelated proteins, top candidates from one round of the method were diverse and as active as mutants from earlier high-throughput engineering.“As demonstrated in two dissimilar proteins, GFP from Aequorea victoria (avGFP) and E. coli strain TEM-1 β-lactamase, top candidates from a single round are diverse and as active as engineered mutants obtained from previous high-throughput efforts.”
   2. UncheckedThe model learns a latent representation of 'unnaturalness' from natural protein sequences, which helps steer searches away from nonfunctional sequences.“By distilling information from natural protein sequence landscapes, our model learns a latent representation of 'unnaturalness', which helps to guide search away from nonfunctional sequence neighborhoods.”