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• W1985723382 abstract "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." @default.
• W1985723382 created "2016-06-24" @default.
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• W1985723382 date "2009-12-01" @default.
• W1985723382 modified "2023-10-06" @default.
• W1985723382 title "Inferring protein function by domain context similarities in protein-protein interaction networks" @default.
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• W1985723382 doi "https://doi.org/10.1186/1471-2105-10-395" @default.
• W1985723382 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/2793267" @default.
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