ETAscape: analyzing protein networks to predict enzymatic function and substrates in Cytoscape

被引：6

作者：

Bachman, Benjamin J. ^{[1
,2
,3
,4
]}

Venner, Eric ^{[1
,2
,3
]}

Lua, Rhonald C. ^{[1
,2
]}

Erdin, Serkan ^{[1
,2
]}

Lichtarge, Olivier ^{[1
,2
,3
,4
]}

机构：

[1] Baylor Coll Med, Dept Mol, Houston, TX 77030 USA

[2] Baylor Coll Med, Dept Human Genet, Houston, TX 77030 USA

[3] Baylor Coll Med, Program Struct & Computat Biol & Mol Biophys, Houston, TX 77030 USA

[4] WM Keck Ctr Interdisciplinary Biosci Training, Houston, TX 77005 USA

来源：

BIOINFORMATICS | 2012年 / 28卷 / 16期

基金：

美国国家科学基金会;

关键词：

3D TEMPLATES; VISUALIZATION; ANNOTATION; PARADIGM; FEATURES; SERVER;

D O I：

10.1093/bioinformatics/bts331

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Most proteins lack experimentally validated functions. To address this problem, we implemented the Evolutionary Trace Annotation (ETA) method in the Cytoscape network visualization environment. The result is the ETAscape plugin, which builds a structural genomics network based on local structural and evolutionary similarities among proteins and then globally diffuses known annotations across the resulting network. The plugin displays these novel functional annotations, their confidence, the molecular basis for individual matches and the set of matches that lead to a prediction.

引用

页码：2186 / 2188

页数：3

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