Ross Karen E, Huang Hongzhan, Ren Jia, Arighi Cecilia N, Li Gang, Tudor Catalina O, Lv Mengxi, Lee Jung-Youn, Chen Sheng-Chih, Vijay-Shanker K, Wu Cathy H
Department of Biochemistry and Molecular and Cellular Biology, Georgetown University Medical Center, 3300 Whitehaven Street NW, Suite 1200, Washington, DC, 20057, USA.
Center for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, 19711, USA.
Methods Mol Biol. 2017;1558:333-353. doi: 10.1007/978-1-4939-6783-4_16.
Protein post-translational modification (PTM) is an essential cellular regulatory mechanism, and disruptions in PTM have been implicated in disease. PTMs are an active area of study in many fields, leading to a wealth of PTM information in the scientific literature. There is a need for user-friendly bioinformatics resources that capture PTM information from the literature and support analyses of PTMs and their functional consequences. This chapter describes the use of iPTMnet ( http://proteininformationresource.org/iPTMnet/ ), a resource that integrates PTM information from text mining, curated databases, and ontologies and provides visualization tools for exploring PTM networks, PTM crosstalk, and PTM conservation across species. We present several PTM-related queries and demonstrate how they can be addressed using iPTMnet.
蛋白质翻译后修饰（PTM）是一种重要的细胞调节机制，PTM的破坏与疾病有关。PTM是许多领域的一个活跃研究领域，这使得科学文献中出现了大量的PTM信息。需要用户友好的生物信息学资源来从文献中获取PTM信息，并支持对PTM及其功能后果的分析。本章描述了iPTMnet（http://proteininformationresource.org/iPTMnet/）的使用，该资源整合了来自文本挖掘、人工策划数据库和本体的PTM信息，并提供了用于探索PTM网络、PTM串扰和跨物种PTM保守性的可视化工具。我们提出了几个与PTM相关的查询，并演示了如何使用iPTMnet来解决这些查询。
