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CytoCtrlAnalyser: a Cytoscape app for biomolecular network controllability analysis.

Lin Wu¹, Min Li², Jianxin Wang²

¹Division of Biomedical Engineering, University of Saskatchewan, Saskatoon, SK, Canada S7N 5A9.

Bioinformatics (Oxford, England)

|November 30, 2017

Summary

CytoCtrlAnalyser is a new Cytoscape app that analyzes biomolecular network controllability. It integrates nine algorithms to identify key nodes for controlling biological systems and potential drug targets.

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Area of Science:

Systems Biology
Bioinformatics
Computational Biology

Background:

Understanding biomolecular network controllability offers profound insights into molecular biological systems.
Existing methods for analyzing complex network controllability are fragmented, lacking a unified and user-friendly platform.

Purpose of the Study:

To develop a comprehensive and accessible Cytoscape application for analyzing the controllability of biomolecular networks.
To integrate multiple network controllability algorithms into a single platform for ease of use.

Main Methods:

Development of CytoCtrlAnalyser, a Cytoscape application.
Integration of nine distinct algorithms for network controllability analysis.
Implementation of features for importing network topologies and customized control settings.

Main Results:

CytoCtrlAnalyser provides a unified platform for analyzing biomolecular network controllability.
Users can identify critical "steering nodes" for control actuation and assess node importance from various perspectives.
The application facilitates the identification of potential drug targets and biologically significant nodes.

Conclusions:

CytoCtrlAnalyser offers a valuable tool for researchers studying biomolecular network dynamics.
The platform enhances the ability to investigate and understand the controllability of complex biological networks.
This tool supports applications in drug discovery and the identification of key regulatory elements in biological systems.