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Predicting mutant outcome by combining deep mutational scanning and machine learning.

Proteins - 1 Jan 2022

Sarfati Hagit, Naftaly Si, Papo Niv, Keasar Chen

Abstract excerpt

Deep mutational scanning provides unprecedented wealth of quantitative data regarding the functional outcome of mutations in proteins. A single experiment may measure properties (eg, structural stability) of numerous protein variants. Leveraging the experimental data to gain insights about unexplored regions of the mutational landscape is a major computational challenge. Such insights may facilitate further...

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PMID: 34293212
DOI: 10.1002/prot.26184

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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