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Article

Is there an optimal substitution matrix for contact prediction with correlated mutations?

IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000

Di Lena Pietro, Fariselli Piero, Margara Luciano, Vassura Marco, Casadio Rita

Abstract excerpt

Correlated mutations in proteins are believed to occur in order to preserve the protein functional folding through evolution. Their values can be deduced from sequence and/or structural alignments and are indicative of residue contacts in the protein three-dimensional structure. A correlation among pairs of residues is routinely evaluated with the Pearson correlation coefficient and the MCLACHLAN similarity...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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Identifiers

PMID: 20855922
DOI: 10.1109/TCBB.2010.91

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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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