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Article

Predicting disulfide bond connectivity in proteins by correlated mutations analysis.

Bioinformatics (Oxford, England) - 15 Feb 2008

Rubinstein Rotem, Fiser Andras

Abstract excerpt

MOTIVATION: Prediction of disulfide bond connectivity facilitates structural and functional annotation of proteins. Previous studies suggest that cysteines of a disulfide bond mutate in a correlated manner. RESULTS: We developed a method that analyzes correlated mutation patterns in multiple sequence alignments in order to predict disulfide bond connectivity. Proteins with known experimental structures and...

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PMID: 18203772
DOI: 10.1093/bioinformatics/btm637

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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