Automated Quantitative Assessment of Proteins' Biological Function in Protein Knowledge Bases. (30th June 2008)

• Record Type: Journal Article
• Authors: Mayr, Gabriele; Lepperdinger, Günter; Lackner, Peter
• Other Names: Casadio Rita Academic Editor.
• Is Part Of: Advances in bioinformatics. Volume 2008(2008)
• Publication Date: 2008-06-30
• Subjects: Bioinformatics -- Periodicals; Bioinformatics; Computational Biology -- Periodicals; Periodicals; 570.285
• DOI: 10.1155/2008/897019
• Languages: English
• ISSNs: 1687-8027

Abstract

Abstract : Primary protein sequence data are archived in databases together with information regarding corresponding biological functions. In this respect, UniProt/Swiss-Prot is currently the most comprehensive collection and it is routinely cross-examined when trying to unravel the biological role of hypothetical proteins. Bioscientists frequently extract single entries and further evaluate those on a subjective basis. In lieu of a standardized procedure for scoring the existing knowledge regarding individual proteins, we here report about a computer-assisted method, which we applied to score the present knowledge about any given Swiss-Prot entry. Applying this quantitative score allows the comparison of proteins with respect to their sequence yet highlights the comprehension of functional data. pfs analysis may be also applied for quality control of individual entries or for database management in order to rank entry listings.