Integrating multi-attribute similarity networks for robust representation of the protein space

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Camoglu O., Can T., Singh A. K.

BIOINFORMATICS, vol.22, no.13, pp.1585-1592, 2006 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 22 Issue: 13
  • Publication Date: 2006
  • Doi Number: 10.1093/bioinformatics/btl130
  • Journal Name: BIOINFORMATICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1585-1592
  • Middle East Technical University Affiliated: Yes

Abstract

Motivation: A global view of the protein space is essential for functional and evolutionary analysis of proteins. In order to achieve this, a similarity network can be built using pairwise relationships among proteins. However, existing similarity networks employ a single similarity measure and therefore their utility depends highly on the quality of the selected measure. A more robust representation of the protein space can be realized if multiple sources of information are used.