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CIPPN: computational identification of protein pupylation sites by using neural network
Bao, WZ (Bao, Wenzheng); You, ZH (You, Zhu-Hong); Huang, DS (Huang, De-Shuang)
2017
Source PublicationONCOTARGET
ISSN1949-2553
Volume8Issue:65Pages:108867-108879
Abstract

Recently, experiments revealed the pupylation to be a signal for the selective regulation of proteins in several serious human diseases. As one of the most significant post translational modification in the field of biology and disease, pupylation has the ability to playing the key role in the regulation various diseases' biological processes. Meanwhile, effectively identification such type modification will be helpful for proteins to perform their biological functions and contribute to understanding the molecular mechanism, which is the foundation of drug design. The existing algorithms of identification such types of modified sites often have some defects, such as low accuracy and time-consuming. In this research, the pupylation sites' identification model, CIPPN, demonstrates better performance than other existing approaches in this field. The proposed predictor achieves Acc value of 89.12 and Mcc value of 0.7949 in 10-fold cross-validation tests in the Pupdb Database (http://cwtung.kmu.edu.tw/pupdb). Significantly, such algorithm not only investigates the sequential, structural and evolutionary hallmarks around pupylation sites but also compares the differences of pupylation from the environmental, conservative and functional characterization of substrates. Therefore, the proposed feature description approach and algorithm results prove to be useful for further experimental investigation of such modification's identification

KeywordDisease Post Translational Modification Classification
DOI10.18632/oncotarget.22335
Indexed BySCI
WOS IDWOS:000419565400047
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.xjipc.cas.cn/handle/365002/5300
Collection多语种信息技术研究室
Affiliation1.Tongji Univ, Sch Elect & Informat Engn, Inst Machine Learning & Syst Biol, Shanghai, Peoples R China
2.Chinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Urumqi 830011, Peoples R China
Recommended Citation
GB/T 7714
Bao, WZ ,You, ZH ,Huang, DS . CIPPN: computational identification of protein pupylation sites by using neural network[J]. ONCOTARGET,2017,8(65):108867-108879.
APA Bao, WZ ,You, ZH ,&Huang, DS .(2017).CIPPN: computational identification of protein pupylation sites by using neural network.ONCOTARGET,8(65),108867-108879.
MLA Bao, WZ ,et al."CIPPN: computational identification of protein pupylation sites by using neural network".ONCOTARGET 8.65(2017):108867-108879.
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