Identification of self-interacting proteins by exploring evolutionary information embedded in PSI-BLAST-constructed position specific scoring matrix
文献类型：期刊论文
| 作者 | An, JY (An, Ji-Yong); You, ZH (You, Zhu-Hong) ; Chen, X (Chen, Xing); Huang, DS (Huang, De-Shuang); Li, ZW (Li, Zheng-Wei); Liu, G (Liu, Gang); Wang, Y (Wang, Yin)
|
| 刊名 | ONCOTARGET
 |
| 出版日期 | 2016 |
| 卷号 | 7期号:50页码:82440-82449 |
| 关键词 | disease position-specific scoring matrix protein self-interaction cancer |
| 通讯作者 | You, ZH |
| 英文摘要 | Self-interacting Proteins (SIPs) play an essential role in a wide range of biological processes, such as gene expression regulation, signal transduction, enzyme activation and immune response. Because of the limitations for experimental self-interaction proteins identification, developing an effective computational method based on protein sequence to detect SIPs is much important. In the study, we proposed a novel computational approach called RVMBIGP that combines the Relevance Vector Machine (RVM) model and Bi-gram probability (BIGP) to predict SIPs based on protein sequence. The proposed prediction model includes as following steps: (1) an effective feature extraction method named BIGP is used to represent protein sequences on Position Specific Scoring Matrix (PSSM); (2) Principal Component Analysis (PCA) method is employed for integrating the useful information and reducing the influence of noise; (3) the robust classifier Relevance Vector Machine (RVM) is used to carry out classification. When performed on yeast and human datasets, the proposed RVMBIGP model can achieve very high accuracies of 95.48% and 98.80%, respectively. The experimental results show that our proposed method is very promising and may provide a cost-effective alternative for SIPs identification. In addition, to facilitate extensive studies for future proteomics research, the RVMBIGP server is freely available for academic use at http://219.219.62.123:8888/RVMBIGP. |
| 收录类别 | SCI |
| WOS记录号 | WOS:000391352800040 |
| 源URL | [http://ir.xjipc.cas.cn/handle/365002/4714]  |
| 专题 | 新疆理化技术研究所_多语种信息技术研究室 |
| 作者单位 | 1.China Univ Min & Technol, Sch Comp Sci & Technol, Xuzhou 21116, Peoples R China 2.Chinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Urumqi 830011, Peoples R China 3.China Univ Min & Technol, Sch Informat & Elect Engn, Xuzhou 221116, Peoples R China 4.Tongji Univ, Sch Elect & Informat Engn, Shanghai 201804, Peoples R China 5.Shenzhen Univ, Coll Comp Sci & Software Engn, Shenzhen 518060, Guangdong, Peoples R China |
| 推荐引用方式 GB/T 7714 | An, JY ,You, ZH ,Chen, X ,et al. Identification of self-interacting proteins by exploring evolutionary information embedded in PSI-BLAST-constructed position specific scoring matrix[J]. ONCOTARGET,2016,7(50):82440-82449. |
| APA | An, JY .,You, ZH .,Chen, X .,Huang, DS .,Li, ZW .,...&Wang, Y .(2016).Identification of self-interacting proteins by exploring evolutionary information embedded in PSI-BLAST-constructed position specific scoring matrix.ONCOTARGET,7(50),82440-82449. |
| MLA | An, JY ,et al."Identification of self-interacting proteins by exploring evolutionary information embedded in PSI-BLAST-constructed position specific scoring matrix".ONCOTARGET 7.50(2016):82440-82449. |
入库方式： OAI收割
来源：新疆理化技术研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。