Journal
AMINO ACIDS
Volume 39, Issue 5, Pages 1595-1599Publisher
SPRINGER WIEN
DOI: 10.1007/s00726-010-0588-1
Keywords
Protein-protein interactions; Support vector machine; Meta approach; Protein sequence; Feature representation
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Funding
- National Science Foundation of China [30700161, 60905023, 30900321, 60975005]
- National Basic Research Program of China [2007CB311002]
- Hefei Institutes of Physical Science [0823A16121]
- National High Technology Research and Development Program of China [2006AA02Z309]
- Shanghai Municipal Education Commission [10YZ01]
- Shanghai Rising-Star Program [10QA1402700]
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A novel method is proposed for predicting protein-protein interactions (PPIs) based on the meta approach, which predicts PPIs using support vector machine that combines results by six independent state-of-the-art predictors. Significant improvement in prediction performance is observed, when performed on Saccharomyces cerevisiae and Helicobacter pylori datasets. In addition, we used the final prediction model trained on the PPIs dataset of S. cerevisiae to predict interactions in other species. The results reveal that our meta model is also capable of performing cross-species predictions. The source code and the datasets are available at http://home.ustc.edu.cn/similar to jfxia/Meta_PPI.html..
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