2012
DOI: 10.1074/mcp.o111.014076
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E3Net: A System for Exploring E3-mediated Regulatory Networks of Cellular Functions

Abstract: Ubiquitin-protein ligase (E3) is a key enzyme targeting specific substrates in diverse cellular processes for ubiquitination and degradation. The existing findings of substrate specificity of E3 are, however, scattered over a number of resources, making it difficult to study them together with an integrative view. Here we present E3Net, a web-based system that provides a comprehensive collection of available E3-substrate specificities and a systematic framework for the analysis of E3-mediated regulatory networ… Show more

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Cited by 34 publications
(34 citation statements)
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“…The list of proteins involved in ubiquitination (UBSs) and deubiquitination (DUBs) was manually created by integrating previous knowledge from UniProt 17 and E3NET 55 . The final list of proteins involved in ubiquitination included 977 identifiers of human proteins.…”
Section: Methodsmentioning
confidence: 99%
“…The list of proteins involved in ubiquitination (UBSs) and deubiquitination (DUBs) was manually created by integrating previous knowledge from UniProt 17 and E3NET 55 . The final list of proteins involved in ubiquitination included 977 identifiers of human proteins.…”
Section: Methodsmentioning
confidence: 99%
“…Aberrances of ubiquitin and ubiquitin-like conjugation systems are highly implicated in a variety of diseases and cancers (7,10). In this regard, identification and classification of E1s, E2s, E3s and DUBs is fundamental for dissecting the molecular mechanisms and regulatory roles of the conjugation (4,8,9), analyzing the phylogenetic relations of enzymes (8,23), modeling E3-substrate networks (32) and providing potent candidates for drug design (11). Developing a comprehensive database with detailed annotation and classification information has emerged to be an urgent challenge.…”
Section: Discussionmentioning
confidence: 99%
“…DIP, HPRD, IntAct, MINT, MIPS CORUM, MIPS Mpact, and MIPS MPPI. Pathway data was gathered from 5 resources: KEGG Pathway [8], PharmGKB [9], NCI-PID [10], Spike [11], and Cui et al [12] E3-substrate relationship data was achieve from E3Net system [13] collected by text-mining [14]. On the other hand, latter four resources includes biological process (BP), molecular function (MF), and cellular component (CC), and domain information.…”
Section: Data Source Collection and Membershipbased Relation Inferencementioning
confidence: 99%