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Article

Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations.

BMC bioinformatics - 1 Jan 2013

Savojardo Castrense, Fariselli Piero, Martelli Pier Luigi, Casadio Rita

Abstract excerpt

BACKGROUND: Recently, information derived by correlated mutations in proteins has regained relevance for predicting protein contacts. This is due to new forms of mutual information analysis that have been proven to be more suitable to highlight direct coupling between pairs of residues in protein structures and to the large number of protein chains that are currently available for statistical validation. It was...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 23368835
DOI: 10.1186/1471-2105-14-S1-S10
PMCID: PMC3548674

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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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