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BMCBI
2008

Integrating protein-protein interactions and text mining for protein function prediction

10 years 4 months ago
Integrating protein-protein interactions and text mining for protein function prediction
Background: Functional annotation of proteins remains a challenging task. Currently the scientific literature serves as the main source for yet uncurated functional annotations, but curation work is slow and expensive. Automatic techniques that support this work are still lacking reliability. We developed a method to identify conserved protein interaction graphs and to predict missing protein functions from orthologs in these graphs. To enhance the precision of the results, we furthermore implemented a procedure that validates all predictions based on findings reported in the literature. Results: Using this procedure, more than 80% of the GO annotations for proteins with highly conserved orthologs that are available in UniProtKb/Swiss-Prot could be verified automatically. For a subset of proteins we predicted new GO annotations that were not available in UniProtKb/SwissProt. All predictions were correct (100% precision) according to the verifications from a trained curator. Conclusion...
Samira Jaeger, Sylvain Gaudan, Ulf Leser, Dietrich
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2008
Where BMCBI
Authors Samira Jaeger, Sylvain Gaudan, Ulf Leser, Dietrich Rebholz-Schuhmann
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