Extraction of knowledge on protein-protein interaction by association rule discovery |
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Authors: | Oyama T Kitano K Satou K Ito T |
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Affiliation: | INTEC Web and Genome Informatics Corporation, 3-23 Shimoshin-machi, Toyama 930-0804, Japan. oyama@isl.intec.co.jp |
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Abstract: | MOTIVATION: Protein-protein interactions are systematically examined using the yeast two-hybrid method. Consequently, a lot of protein-protein interaction data are currently being accumulated. Nevertheless, general information or knowledge on protein-protein interactions is poorly extracted from these data. Thus we have been trying to extract the knowledge from the protein-protein interaction data using data mining. RESULTS: A data mining method is proposed to discover association rules related to protein-protein interactions. To evaluate the detected rules by the method, a new scoring measure of the rules is introduced. The method allowed us to detect popular interaction rules such as "An SH3 domain binds to a proline-rich region." These results indicate that the method may detect novel knowledge on protein-protein interactions. |
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