Proteomic databases and tools to decipher post-translational modifications

被引:43
|
作者
Kamath, Karthik S. [1 ]
Vasavada, Meghana S. [1 ]
Srivastava, Sanjeeva [1 ]
机构
[1] Indian Inst Technol, Dept Biosci & Bioengn, Wadhwani Res Ctr Biosci & Bioengn, Bombay 400076, Maharashtra, India
关键词
Posttranslational modifications; Databases; Predictors; Phosphorylation; Glycosylation; PROTEIN-PHOSPHORYLATION SITES; TYROSINE SULFATION SITES; DOWN MASS-SPECTROMETRY; O-GLYCOSYLATION SITES; AMINO-ACID-SEQUENCE; QUANTITATIVE PHOSPHOPROTEOMICS; NEURAL-NETWORKS; GLOBAL ANALYSIS; WEB SERVER; PREDICTION;
D O I
10.1016/j.jprot.2011.09.014
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Post-translational modifications (PTMs) are vital cellular control mechanism, which affect protein properties, including folding, conformation, activity and consequently, their functions. As a result they play a key role in various disease conditions, including cancer and diabetes. Proteomics as a rapidly growing field has witnessed tremendous advancement during the last decade, which has led to the generation of prodigious quantity of data for various organisms' proteome. PTMs being biologically and chemically dynamic process, pose greater challenges for its study. Amidst these complexities connecting the modifications with physiological and cellular cascade of events are still very challenging. Advancement in proteomic technologies such as mass spectrometry and microarray provides HT platform to study PTMs and help to decipher role of some of the very essential biological phenomenon. To enhance our understanding of various PTMs in different organisms, and to simplify the analysis of complex PTM data, many databases, software and tools have been developed. These PTM databases and tools contain crucial information and provide a valuable resource to the research community. This article intends to provide a comprehensive overview of various PTM databases, software tools, and analyze critical information available from these resources to study PTMs in various biological organisms. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:127 / 144
页数:18
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