The ConsensusPathDB interaction database: 2013 update.
The ConsensusPathDB interaction database: 2013 update.
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DOI：
10.1093/nar/gks1055
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发表时间：
2013-01
影响因子：
14.9
通讯作者：
Herwig R
中科院分区：
文献类型：
--
作者：
Kamburov A;Stelzl U;Lehrach H;Herwig R
了解细胞中分子之间的各种相互作用对于理解健康和疾病中的细胞过程至关重要。现有的相互作用数据库在很大程度上是相互补充的，必须加以整合，以获得不同类型相互作用的全面全球地图。我们先前已经报道了一个名为PatisusPathDB（http：//www.example.com）的综合交互数据库的开发，旨在完成这一任务。ConsensusPathDB.org在这篇更新文章中，我们报告了它在交互内容和Web界面工具方面的重大进展。ApplusPathDB的增长主要是由于12个数据库的集成;它现在包含来自30个数据库的215541个独特的相互作用和4601个路径。二元蛋白质相互作用用我们的置信度评估工具IntScore评分。PakususPathDB Web界面允许用户在不同的环境中利用这些集成的交互和路径数据。最近的发展包括代谢物列表的途径分析，功能基因/代谢物集重叠图的可视化，基于蛋白质复合物的基因集分析和诱导网络模块分析，通过各种相互作用类型连接基因列表。为了促进交互和通路数据的交互式可视化解释，我们使用Cytoscape. js库重新实现了PatisusPathDB的图形可视化功能。
Knowledge of the various interactions between molecules in the cell is crucial for understanding cellular processes in health and disease. Currently available interaction databases, being largely complementary to each other, must be integrated to obtain a comprehensive global map of the different types of interactions. We have previously reported the development of an integrative interaction database called ConsensusPathDB (http://ConsensusPathDB.org) that aims to fulfill this task. In this update article, we report its significant progress in terms of interaction content and web interface tools. ConsensusPathDB has grown mainly due to the integration of 12 further databases; it now contains 215 541 unique interactions and 4601 pathways from overall 30 databases. Binary protein interactions are scored with our confidence assessment tool, IntScore. The ConsensusPathDB web interface allows users to take advantage of these integrated interaction and pathway data in different contexts. Recent developments include pathway analysis of metabolite lists, visualization of functional gene/metabolite sets as overlap graphs, gene set analysis based on protein complexes and induced network modules analysis that connects a list of genes through various interaction types. To facilitate the interactive, visual interpretation of interaction and pathway data, we have re-implemented the graph visualization feature of ConsensusPathDB using the Cytoscape.js library.
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影响因子：
3.7
作者：
Elefsinioti A;Ackermann M;Beyer A
通讯作者：
Beyer A
影响因子：
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作者：
Kanehisa M;Goto S;Sato Y;Furumichi M;Tanabe M
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Tanabe M
影响因子：
14.9
作者：
Kamburov, Atanas;Stelzl, Ulrich;Herwig, Ralf
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Herwig, Ralf
影响因子：
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Frolkis A;Knox C;Lim E;Jewison T;Law V;Hau DD;Liu P;Gautam B;Ly S;Guo AC;Xia J;Liang Y;Shrivastava S;Wishart DS
通讯作者：
Wishart DS