| Literature DB >> 28150246 |
Karen E Ross1, Hongzhan Huang2, Jia Ren2, Cecilia N Arighi2,3, Gang Li3, Catalina O Tudor2, Mengxi Lv2, Jung-Youn Lee4, Sheng-Chih Chen2, K Vijay-Shanker3, Cathy H Wu5,2,3.
Abstract
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.Entities:
Keywords: Acetylation; Database; PTM crosstalk; Phosphorylation; Post-translational modification; Protein ontology; Protein-protein interaction; Text mining
Mesh：
Substances：
Year: 2017 PMID： 28150246 PMCID： PMC5436273 DOI： 10.1007/978-1-4939-6783-4_16
Source DB: PubMed Journal: Methods Mol Biol ISSN： 1064-3745