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Article

Inferring protein fitness landscapes from laboratory evolution experiments.

PLoS computational biology - 1 Mar 2023

D'Costa Sameer, Hinds Emily C, Freschlin Chase R, Song Hyebin, Romero Philip A

Abstract excerpt

Directed laboratory evolution applies iterative rounds of mutation and selection to explore the protein fitness landscape and provides rich information regarding the underlying relationships between protein sequence, structure, and function. Laboratory evolution data consist of protein sequences sampled from evolving populations over multiple generations and this data type does not fit into established supervised...

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Identifiers

PMID: 36857380
DOI: 10.1371/journal.pcbi.1010956
PMCID: PMC10010530

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DHFR

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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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