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- Title
Improving protein function prediction methods with integrated literature data.
- Authors
Gabow, Aaron P; Leach, Sonia M; Baumgartner, William A; Hunter, Lawrence E; Goldberg, Debra S
- Abstract
Determining the function of uncharacterized proteins is a major challenge in the post-genomic era due to the problem's complexity and scale. Identifying a protein's function contributes to an understanding of its role in the involved pathways, its suitability as a drug target, and its potential for protein modifications. Several graph-theoretic approaches predict unidentified functions of proteins by using the functional annotations of better-characterized proteins in protein-protein interaction networks. We systematically consider the use of literature co-occurrence data, introduce a new method for quantifying the reliability of co-occurrence and test how performance differs across species. We also quantify changes in performance as the prediction algorithms annotate with increased specificity.
- Publication
BMC bioinformatics, 2008, Vol 9, p198
- ISSN
1471-2105
- Publication type
Journal Article
- DOI
10.1186/1471-2105-9-198