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Unsupervised Inference of Protein Fitness Landscape from Deep Mutational Scan.

Molecular biology and evolution - 4 Jan 2021

Fernandez-de-Cossio-Diaz Jorge, Uguzzoni Guido, Pagnani Andrea

Abstract excerpt

The recent technological advances underlying the screening of large combinatorial libraries in high-throughput mutational scans deepen our understanding of adaptive protein evolution and boost its applications in protein design. Nevertheless, the large number of possible genotypes requires suitable computational methods for data analysis, the prediction of mutational effects, and the generation of optimized...

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PMID: 32770229
DOI: 10.1093/molbev/msaa204
PMCID: PMC7783173

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