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Advances in Bioinformatics
Volume 2008, Article ID 897019, 7 pages
http://dx.doi.org/10.1155/2008/897019
Research Article

Automated Quantitative Assessment of Proteins' Biological Function in Protein Knowledge Bases

1Department of Molecular Biology, University Salzburg, Hellbrunner Strasse 34, 5020 Salzburg, Austria
2Institute for Biomedical Aging Research, Austrian Academy of Sciences, Rennweg 10, 6020 Innsbruck, Austria

Received 29 February 2008; Revised 30 April 2008; Accepted 12 May 2008

Academic Editor: Rita Casadio

Copyright © 2008 Gabriele Mayr et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.