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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; Li, LP (Li, Li-Ping)1; Huang, YA (Huang, Yu-An)1; Yi, HC (Yi, Hai-Cheng)1; You, ZH
2017
发表期刊MOLECULES
卷号22期号:8
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.
关键词Protein-protein Interactions Legendre Moments Position Specific Scoring Matrix Probabilistic Classification Vector Machine
DOI10.3390/molecules22081366
收录类别SCI
WOS记录号WOS:000408602900129
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.xjipc.cas.cn/handle/365002/4929
专题多语种信息技术研究室
通讯作者You, ZH
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
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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).
APA Wang, YB ,You, ZH ,Li, LP ,Huang, YA ,Yi, HC ,&You, ZH.(2017).Detection of Interactions between Proteins by Using Legendre Moments Descriptor to Extract Discriminatory Information Embedded in PSSM.MOLECULES,22(8).
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).
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