Automated Quantitative Assessment of Proteins' Biological Function in Protein Knowledge Bases
Joint Authors
Mayr, Gabriele
Lepperdinger, Günter
Lackner, Peter
Source
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-06-30
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Biology
Abstract EN
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.
American Psychological Association (APA)
Mayr, Gabriele& Lepperdinger, Günter& Lackner, Peter. 2008. Automated Quantitative Assessment of Proteins' Biological Function in Protein Knowledge Bases. Advances in Bioinformatics،Vol. 2008, no. 2008, pp.1-7.
https://search.emarefa.net/detail/BIM-506331
Modern Language Association (MLA)
Mayr, Gabriele…[et al.]. Automated Quantitative Assessment of Proteins' Biological Function in Protein Knowledge Bases. Advances in Bioinformatics No. 2008 (2008), pp.1-7.
https://search.emarefa.net/detail/BIM-506331
American Medical Association (AMA)
Mayr, Gabriele& Lepperdinger, Günter& Lackner, Peter. Automated Quantitative Assessment of Proteins' Biological Function in Protein Knowledge Bases. Advances in Bioinformatics. 2008. Vol. 2008, no. 2008, pp.1-7.
https://search.emarefa.net/detail/BIM-506331
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-506331