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Bioinformatics. 2008 Mar 15;24(6):872-3. doi: 10.1093/bioinformatics/btn040. Epub 2008 Jan 28.

On distance and similarity in fold space.

Author information

  • Center of Applied Molecular Engineering, Division of Bioinformatics, Department of Molecular Biology, University of Salzburg, Hellbrunnerstr. 34, 5020 Salzburg, Austria. sippl@came.sbg.ac.at

Abstract

Metric information on similarities and distances in fold space is essential for quantitative work in structural bioinformatics and structural biology. Here we derive a suitable metric for protein structures from the fundamental axioms of similarity. Derivation of the metric also clarifies the relationship between the interrelated concepts of distance and similarity.

PMID:
18227113
[PubMed - indexed for MEDLINE]
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