| International Journal of Molecular Sciences | |
| Identifying Protein-Protein Interaction Sites Using Covering Algorithm | |
| Xiuquan Du1  Jiaxing Cheng2  | |
| [1] The Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Anhui University, Anhui, China | |
| 关键词: protein-protein interaction; covering algorithm; sequence profile; residue accessible area; maximum entropy; | |
| DOI : 10.3390/ijms10052190 | |
| 来源: mdpi | |
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【 摘 要 】
Identification of protein-protein interface residues is crucial for structural biology. This paper proposes a covering algorithm for predicting protein-protein interface residues with features including protein sequence profile and residue accessible area. This method adequately utilizes the characters of a covering algorithm which have simple, lower complexity and high accuracy for high dimension data. The covering algorithm can achieve a comparable performance (69.62%, Complete dataset; 60.86%, Trim dataset with overall accuracy) to a support vector machine and maximum entropy on our dataset, a correlation coefficient (CC) of 0.2893, 58.83% specificity, 56.12% sensitivity on the Complete dataset and 0.2144 (CC), 53.34% (specificity), 65.59% (sensitivity) on the Trim dataset in identifying interface residues by 5-fold cross-validation on 61 protein chains. This result indicates that the covering algorithm is a powerful and robust protein-protein interaction site prediction method that can guide biologists to make specific experiments on proteins. Examination of the predictions in the context of the 3-dimensional structures of proteins demonstrates the effectiveness of this method.
【 授权许可】
CC BY
© 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202003190056666ZK.pdf | 460KB |
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