Fiche du document
3 février 2009
- handle: 10670/1.d5j98u
- doi: 10.1155/2008/897019
info:eu-repo/semantics/openAccess
Sujets proches
ProteidsCiter ce document
Gabriele Mayr et al., « Automated Quantitative Assessment of Proteins’ Biological Function in Protein Knowledge Bases », Elektronisches Publikationsportal der Österreichischen Akademie der Wissenschafte, ID : 10.1155/2008/897019
Métriques
Partage / Export
Résumé
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.