Sequence-based protein-protein interaction prediction via support vector machine
文献类型：期刊论文
| 作者 | Wang, Yongcui ; Wang, Jiguang ; Yang, Zhixia ; Deng, Naiyang |
| 刊名 | JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
 ; Wang, YC; Wang, JG; Yang, ZX; Deng, NY.Sequence-based protein-protein interaction prediction via support vector machine,JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,2010,23(5):1012-1023
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| 出版日期 | 2010-10-01 |
| 英文摘要 | This paper develops sequence-based methods for identifying novel protein-protein interactions (PPIs) by means of support vector machines (SVMs). The authors encode proteins ont only in the gene level but also in the amino acid level, and design a procedure to select negative training set for dealing with the training dataset imbalance problem, i.e., the number of interacting protein pairs is scarce relative to large scale non-interacting protein pairs. The proposed methods are validated on PPIs data of Plasmodium falciparum and Escherichia coli, and yields the predictive accuracy of 93.8% and 95.3%, respectively. The functional annotation analysis and database search indicate that our novel predictions are worthy of future experimental validation. The new methods will be useful supplementary tools for the future proteomics studies.; This paper develops sequence-based methods for identifying novel protein-protein interactions (PPIs) by means of support vector machines (SVMs). The authors encode proteins ont only in the gene level but also in the amino acid level, and design a procedure to select negative training set for dealing with the training dataset imbalance problem, i.e., the number of interacting protein pairs is scarce relative to large scale non-interacting protein pairs. The proposed methods are validated on PPIs data of Plasmodium falciparum and Escherichia coli, and yields the predictive accuracy of 93.8% and 95.3%, respectively. The functional annotation analysis and database search indicate that our novel predictions are worthy of future experimental validation. The new methods will be useful supplementary tools for the future proteomics studies. |
| 源URL | [http://ir.nwipb.ac.cn//handle/363003/1650]  |
| 专题 | 西北高原生物研究所_中国科学院西北高原生物研究所 |
| 推荐引用方式 GB/T 7714 | Wang, Yongcui,Wang, Jiguang,Yang, Zhixia,et al. Sequence-based protein-protein interaction prediction via support vector machine[J]. JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, Wang, YC; Wang, JG; Yang, ZX; Deng, NY.Sequence-based protein-protein interaction prediction via support vector machine,JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,2010,23(5):1012-1023,2010. |
| APA | Wang, Yongcui,Wang, Jiguang,Yang, Zhixia,&Deng, Naiyang.(2010).Sequence-based protein-protein interaction prediction via support vector machine.JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY. |
| MLA | Wang, Yongcui,et al."Sequence-based protein-protein interaction prediction via support vector machine".JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY (2010). |
入库方式： OAI收割
来源：西北高原生物研究所
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