title: Automated quantitative assessment of proteins' biological function in protein knowledge bases.
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.
authors.affiliation: Department of Molecular Biology, University Salzburg, Hellbrunner Strasse 34, 5020 Salzburg, Austria.
authors.forename: Gabriele
authors.initials: G
authors.lastname: Mayr
authors.forename: Günter
authors.initials: G
authors.lastname: Lepperdinger
authors.forename: Peter
authors.initials: P
authors.lastname: Lackner