Detection of Interactions between Proteins by Using Legendre Moments Descriptor to Extract Discriminatory Information Embedded in PSSM | |
Wang, YB (Wang, Yan-Bin)1; You, ZH (You, Zhu-Hong)1![]() | |
刊名 | MOLECULES
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2017 | |
卷号 | 22期号:8页码:1-13 |
关键词 | Protein-protein Interactions Legendre Moments Position Specific Scoring Matrix Probabilistic Classification Vector Machine |
ISSN号 | 1420-3049 |
DOI | 10.3390/molecules22081366 |
英文摘要 | Protein-protein interactions (PPIs) play a very large part in most cellular processes. Although a great deal of research has been devoted to detecting PPIs through high-throughput technologies, these methods are clearly expensive and cumbersome. Compared with the traditional experimental methods, computational methods have attracted much attention because of their good performance in detecting PPIs. In our work, a novel computational method named as PCVM-LM is proposed which combines the probabilistic classification vector machine (PCVM) model and Legendre moments (LMs) to predict PPIs from amino acid sequences. The improvement mainly comes from using the LMs to extract discriminatory information embedded in the position-specific scoring matrix (PSSM) combined with the PCVM classifier to implement prediction. The proposed method was evaluated on Yeast and Helicobacter pylori datasets with five-fold cross-validation experiments. The experimental results show that the proposed method achieves high average accuracies of 96.37% and 93.48%, respectively, which are much better than other well-known methods. To further evaluate the proposed method, we also compared the proposed method with the state-of-the-art support vector machine (SVM) classifier and other existing methods on the same datasets. The comparison results clearly show that our method is better than the SVM-based method and other existing methods. The promising experimental results show the reliability and effectiveness of the proposed method, which can be a useful decision support tool for protein research. |
WOS记录号 | WOS:000408602900129 |
内容类型 | 期刊论文 |
源URL | [http://ir.xjipc.cas.cn/handle/365002/4929] ![]() |
专题 | 新疆理化技术研究所_多语种信息技术研究室 |
通讯作者 | You, ZH (You, Zhu-Hong) |
作者单位 | 1.Chinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Urumqi 830011, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Hong Kong Polytech Univ, Dept Comp, Hong Kong, Hong Kong, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, YB ,You, ZH ,Li, LP ,et al. Detection of Interactions between Proteins by Using Legendre Moments Descriptor to Extract Discriminatory Information Embedded in PSSM[J]. MOLECULES,2017,22(8):1-13. |
APA | Wang, YB ,You, ZH ,Li, LP ,Huang, YA ,&Yi, HC .(2017).Detection of Interactions between Proteins by Using Legendre Moments Descriptor to Extract Discriminatory Information Embedded in PSSM.MOLECULES,22(8),1-13. |
MLA | Wang, YB ,et al."Detection of Interactions between Proteins by Using Legendre Moments Descriptor to Extract Discriminatory Information Embedded in PSSM".MOLECULES 22.8(2017):1-13. |
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