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BIOINFORMATIC APPROACHES FOR PREDICTING SUBSTRATES OF PROTEASES

文献类型：期刊论文

作者Song, Jiangning1,2,3; Tan, Hao; Boyd, Sarah E.4; Shen, Hongbin5; Mahmood, Khalid6; Webb, Geoffrey I.7; Akutsu, Tatsuya2; Whisstock, James C.6; Pike, Robert N.
刊名JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY
出版日期2011-02-01
卷号9期号:1页码:149-178
关键词Proteases substrate specificity substrate cleavage site bioinformatics sequence analysis machine learning support vector machine feature selection structural information
英文摘要Proteases have central roles in "life and death" processes due to their important ability to catalytically hydrolyze protein substrates, usually altering the function and/or activity of the target in the process. Knowledge of the substrate specificity of a protease should, in theory, dramatically improve the ability to predict target protein substrates. However, experimental identification and characterization of protease substrates is often difficult and time-consuming. Thus solving the "substrate identification" problem is fundamental to both understanding protease biology and the development of therapeutics that target specific protease-regulated pathways. In this context, bioinformatic prediction of protease substrates may provide useful and experimentally testable information about novel potential cleavage sites in candidate substrates. In this article, we provide an overview of recent advances in developing bioinformatic approaches for predicting protease substrate cleavage sites and identifying novel putative substrates. We discuss the advantages and drawbacks of the current methods and detail how more accurate models can be built by deriving multiple sequence and structural features of substrates. We also provide some suggestions about how future studies might further improve the accuracy of protease substrate specificity prediction.
WOS标题词Science & Technology ; Life Sciences & Biomedicine ; Technology
类目[WOS]Biochemical Research Methods ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology
研究领域[WOS]Biochemistry & Molecular Biology ; Computer Science ; Mathematical & Computational Biology
关键词[WOS]PROTEOLYTIC CLEAVAGE SITES ; SUPPORT VECTOR REGRESSION ; FUNCTION NEURAL-NETWORKS ; SVM-BASED PREDICTION ; PROTEIN N-TERMINI ; SECONDARY STRUCTURE ; PHAGE DISPLAY ; WEB-SERVER ; UNSTRUCTURED PROTEINS ; COMPLEMENT PATHWAY
收录类别SCI
语种英语
WOS记录号WOS:000297076100009
公开日期2011-08-18
源URL[http://localhost/handle/0/128]  
专题天津工业生物技术研究所_结构生物信息学和整合系统生物学实验室 宋江宁_期刊论文
作者单位1.Monash Univ, Dept Biochem & Mol Biol, Fac Med, Clayton, Vic 3800, Australia
2.Kyoto Univ, Bioinformat Ctr, Inst Chem Res, Kyoto 6110011, Japan
3.Chinese Acad Sci, Tianjin Inst Ind Biotechnol, Tianjin 300308, Peoples R China
4.La Trobe Univ, Bundoora, Vic 3086, Australia
5.Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai 200240, Peoples R China
6.Monash Univ, ARC Ctr Excellence Struct & Funct Microbial Genom, Clayton, Vic 3800, Australia
7.Monash Univ, Fac Informat Technol, Ctr Res Intelligent Syst, Clayton, Vic 3800, Australia
推荐引用方式
GB/T 7714		 Song, Jiangning,Tan, Hao,Boyd, Sarah E.,et al. BIOINFORMATIC APPROACHES FOR PREDICTING SUBSTRATES OF PROTEASES[J]. JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY,2011,9(1):149-178.
APA Song, Jiangning.,Tan, Hao.,Boyd, Sarah E..,Shen, Hongbin.,Mahmood, Khalid.,...&Pike, Robert N..(2011).BIOINFORMATIC APPROACHES FOR PREDICTING SUBSTRATES OF PROTEASES.JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY,9(1),149-178.
MLA Song, Jiangning,et al."BIOINFORMATIC APPROACHES FOR PREDICTING SUBSTRATES OF PROTEASES".JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY 9.1(2011):149-178.

入库方式： OAI收割

来源：天津工业生物技术研究所

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