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Published in:
2010 | OriginalPaper | Chapter
Identifying Protein-Protein Interaction Sites Using Granularity Computing of Quotient Space Theory
Authors : Yanping Zhang, Yongcheng Wang, Jun Ma, Xiaoyan Chen
Published in: Rough Set and Knowledge Technology
Publisher: Springer Berlin Heidelberg
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The function of protein-protein interaction is very important to cell activity. Studying protein-protein interaction can help us understand life activities and pharmaceutical design. In this study, a kernel covering algorithm combined with the theory of granular computing of quotient space for predicting protein-protein interaction sites is proposed, (i.e. KCA-GS Model). This method achieves good performances, and the Sensitivity, Specificity, Accuracy and Correlation coefficient are 52.97%, 53.92%, 70.27%, 24.61%, respectively. It is indicated that our method is effective, potential and promising to identify protein-protein interaction sites.