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Article

Statistical modeling to quantify the uncertainty of FoldX-predicted protein folding and binding stability.

BMC bioinformatics - 12 Nov 2023

Sapozhnikov Yesol, Patel Jagdish Suresh, Ytreberg F Marty, Miller Craig R

Abstract excerpt

BACKGROUND: Computational methods of predicting protein stability changes upon missense mutations are invaluable tools in high-throughput studies involving a large number of protein variants. However, they are limited by a wide variation in accuracy and difficulty of assessing prediction uncertainty. Using a popular computational tool, FoldX, we develop a statistical framework that quantifies the uncertainty of...

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Identifiers

PMID: 37953256
DOI: 10.1186/s12859-023-05537-0
PMCID: PMC10642056

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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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