Reference: Zhang S, et al. (2009) Inferring protein function by domain context similarities in protein-protein interaction networks. BMC Bioinformatics 10:395

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Abstract


Background: Genome sequencing projects generate massive amounts of sequence data but there are still many proteins whose functions remain unknown. The availability of large scale protein-protein interaction data sets makes it possible to develop new function prediction methods based on protein-protein interaction (PPI) networks. Although several existing methods combine multiple information resources, there is no study that integrates protein domain information and PPI networks to predict protein functions.

Results: The domain context similarity can be a useful index to predict protein function similarity. The prediction accuracy of our method in yeast is between 63%-67%, which outperforms the other methods in terms of ROC curves.

Conclusion: This paper presents a novel protein function prediction method that combines protein domain composition information and PPI networks. Performance evaluations show that this method outperforms existing methods.

Reference Type
Journal Article | Research Support, Non-U.S. Gov't
Authors
Zhang S, Chen H, Liu K, Sun Z
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