Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, SK, Canada S7N 5A9.
School of Information Science and Engineering, Central South University, Changsha, Hunan 410083, China.
Bioinformatics. 2018 Apr 15;34(8):1428-1430. doi: 10.1093/bioinformatics/btx764.
Studying the controllability of biomolecular networks can result in profound knowledge about molecular biological systems. However, there is no comprehensive and easy-to-use platform for analyzing controllability of biomolecular networks although various algorithms for analyzing complex network controllability have been proposed recently. In this application note, we develop the CytoCtrlAnalyser which is a Cytoscape app to provide a comprehensive platform for analyzing controllability of biomolecular networks. Nine algorithms have been integrated in CytoCtrlAnalyser. With network topologies and customized control settings imported into CytoCtrlAnalyser, users can identify the steering nodes which should be actuated by input control signals for achieving different control objectives as well as investigate the importance of nodes from different perspectives in the controllability of networks. CytoCtrlAnalyser offers a tool for many promising applications, such as identification of potential drug targets or biologically important nodes in biomolecular networks.
Freely available for downloading at http://apps.cytoscape.org/apps/cytoctrlanalyser.
Supplementary data are available at Bioinformatics online.
研究生物分子网络的可控性可以深入了解分子生物学系统。然而,尽管最近提出了各种用于分析复杂网络可控性的算法,但仍然没有一个全面且易于使用的用于分析生物分子网络可控性的平台。在本应用说明中,我们开发了 CytoCtrlAnalyser,这是一个 Cytoscape 的应用程序,为分析生物分子网络的可控性提供了一个全面的平台。CytoCtrlAnalyser 集成了 9 种算法。通过将网络拓扑和定制的控制设置导入 CytoCtrlAnalyser,用户可以识别出应该通过输入控制信号来驱动的转向节点,以实现不同的控制目标,并从不同角度研究网络可控性中节点的重要性。CytoCtrlAnalyser 为许多有前途的应用提供了一种工具,例如识别生物分子网络中潜在的药物靶点或生物学上重要的节点。
可在 http://apps.cytoscape.org/apps/cytoctrlanalyser 免费下载。
补充数据可在 Bioinformatics 在线获取。