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

机译:ETAscape:分析蛋白质网络以预测Cytoscape中的酶功能和底物

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摘要

Summary: 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.
机译:摘要:大多数蛋白质缺乏经过实验验证的功能。为了解决这个问题,我们在Cytoscape网络可视化环境中实现了演化轨迹注释(ETA)方法。结果就是ETAscape插件,该插件基于蛋白质之间的局部结构和进化相似性构建了一个结构基因组网络,然后将已知的注释全局分散到整个网络中。该插件显示这些新颖的功能注释,它们的置信度,单个匹配项的分子基础以及导致预测的匹配项集。

著录项

  • 来源
    《Bioinformatics》 |2012年第16期|p.2186-2188|共3页
  • 作者单位

    1Departments of Molecular and Human Genetics, 2Program in Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030 and 3W. M. Keck Center for Interdisciplinary Bioscience Training, Houston, TX 77005, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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