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Article

A structural bioinformatics approach to the analysis of nonsynonymous single nucleotide polymorphisms (nsSNPs) and their relation to disease.

Journal of bioinformatics and computational biology - 1 Dec 2007

Worth Catherine L, Bickerton G Richard J, Schreyer Adrian, Forman Julia R, Cheng Tammy M K, Lee Semin, Gong Sungsam, Burke David F, Blundell Tom L

Abstract excerpt

The prediction of the effects of nonsynonymous single nucleotide polymorphisms (nsSNPs) on function depends critically on exploiting all information available on the three-dimensional structures of proteins. We describe software and databases for the analysis of nsSNPs that allow a user to move from SNP to sequence to structure to function. In both structure prediction and the analysis of the effects of nsSNPs,...

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Identifiers

PMID: 18172930
DOI: 10.1142/s0219720007003120

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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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