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Bioinformatics Advance Access published online on May 26, 2005
Bioinformatics, doi:10.1093/bioinformatics/bti514
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© The Author (2005). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oupjournals.org
Received March 30, 2005
Revised May 5, 2005
Accepted May 22, 2005

Article

Functional annotation from predicted protein interaction networks

Jason McDermott 1, Roger Bumgarner 1, and Ram Samudrala 1*

1 Department of Microbiology, University of Washington School of Medicine, Seattle, Washington 98195, USA

* To whom correspondence should be addressed.
Ram Samudrala, E-mail: ram{at}compbio.washington.edu


  Abstract

Motivation: Progress in large-scale experimental determination of protein-protein interaction networks for several organisms has resulted in innovative methods of functional inference based on network connectivity. However, the amount of effort and resources required for the elucidation of experimental protein interaction networks is prohibitive. Previously, we and others have developed techniques to predict protein interactions for novel genomes using computational methods and data generated from other genomes.

Results: We evaluated the performance of a network-based functional annotation method that makes use of our predicted protein interaction networks. We show that this approach performs equally well on experimentally-derived and predicted interaction networks for both manually and computationally assigned annotations. We applied the method to predicted protein interaction networks for over 50 organisms from all domains of life, providing annotations for many previously unannotated proteins and verifying existing low-confidence annotations.

Availability: Functional predictions for over 50 organisms are available at http://bioverse.compbio.washington.edu and datasets used for analysis at http://data.compbio.washington.edu/misc/downloads/nannotation_data/.

Supplementary Information: A supplemental appendix gives additional details not in the main text.


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