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CABIN:生物相互作用网络的集体分析

CABIN: collective analysis of biological interaction networks.

作者信息

Singhal Mudita, Domico Kelly

机构信息

Computational Biology and Bioinformatics, Pacific Northwest National Laboratory, Richland, WA 99352, USA.

出版信息

Comput Biol Chem. 2007 Jun;31(3):222-5. doi: 10.1016/j.compbiolchem.2007.03.006. Epub 2007 Mar 30.

Abstract

The importance of understanding biological interaction networks has fueled the development of numerous interaction data generation techniques, databases and prediction tools. However, not all prediction tools and databases predict interactions with one hundred percent accuracy. Generation of high-confidence interaction networks formulates the first step towards deciphering unknown protein functions, determining protein complexes and inventing drugs. The CABIN: Collective Analysis of Biological Interaction Networks software is an exploratory data analysis tool that enables analysis and integration of interactions evidence obtained from multiple sources, thereby increasing the confidence of computational predictions as well as validating experimental observations. CABIN has been written in Java and is available as a plugin for Cytoscape--an open source network visualization tool.

摘要

理解生物相互作用网络的重要性推动了众多相互作用数据生成技术、数据库和预测工具的发展。然而,并非所有的预测工具和数据库都能以百分之百的准确率预测相互作用。生成高可信度的相互作用网络是解读未知蛋白质功能、确定蛋白质复合物和研发药物的第一步。CABIN:生物相互作用网络的集体分析软件是一种探索性数据分析工具,它能够分析和整合从多个来源获得的相互作用证据,从而提高计算预测的可信度并验证实验观察结果。CABIN是用Java编写的,可作为开源网络可视化工具Cytoscape的插件使用。

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