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用于解读翻译后修饰的蛋白质组学数据库和工具。

Proteomic databases and tools to decipher post-translational modifications.

机构信息

Wadhwani Research Center for Biosciences and Bioengineering, Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai 400076, India.

出版信息

J Proteomics. 2011 Dec 10;75(1):127-44. doi: 10.1016/j.jprot.2011.09.014. Epub 2011 Sep 29.

DOI:10.1016/j.jprot.2011.09.014
PMID:21983556
Abstract

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.

摘要

翻译后修饰(PTMs)是重要的细胞控制机制,它影响蛋白质的特性,包括折叠、构象、活性,进而影响其功能。因此,它们在包括癌症和糖尿病在内的各种疾病状态中起着关键作用。蛋白质组学作为一个快速发展的领域,在过去十年中取得了巨大进展,这导致为各种生物体的蛋白质组生成了大量数据。PTMs是生物学和化学上的动态过程,对其研究提出了更大的挑战。在这些复杂性中,将修饰与生理和细胞事件级联联系起来仍然非常具有挑战性。质谱和微阵列等蛋白质组学技术的进步提供了高通量平台来研究PTMs,并有助于解读一些非常重要的生物学现象的作用。为了增进我们对不同生物体中各种PTMs的理解,并简化对复杂PTM数据的分析,已经开发了许多数据库、软件和工具。这些PTM数据库和工具包含关键信息,并为研究界提供了宝贵的资源。本文旨在全面概述各种PTM数据库、软件工具,并分析从这些资源中可获得的关键信息,以研究各种生物体内的PTMs。

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