This page provides general details about the web application.
NetControl4BioMed is a free open-source web-based application (the second version of the software described here ), aimed primarily at applications in biomedicine and allowing for:
  • User-driven data directed protein-protein interaction network generation.
  • Structural target network controllability analysis focused on highly personalized drug-repurposing and drug-therapy suggestions.
  • Cloud-based solution facilitating collaboration between users.
The new version offers greatly improved performance, allowing for the processing of larger networks, it expands on the integrated databases and datasets available to build and analyze the protein-protein interaction networks, and it offers support for collaboration through sharing networks and analyses.
The logo was created by SmashIcons , downloaded from FlatIcon , and formatted using Real FavIcon Generator .
The icons used throughout the application were created by FontAwesome .
The entire front-end works and looks as it does thanks to JQuery and Bootstrap .
The client-side validation is performed using JQuery Validation and JQuery Validation Unobtrusive .
The graphs are drawn and styled using CytoscapeJS .
The tables are partly formatted using DataTables .
The QR code for two-factor authentication is generated using JQuery QR Code .
The background tasks are managed with the help of Hangfire .
The behind-the-scenes matrix operations are handled using MathNET Numerics .
The download of data is made possible also using Open XML .
The e-mail sending service is provided by SendGrid .
This work was supported by the National Institute for Research and Development in Biological Sciences (Romania), University of Turku (Finland), Åbo Akademi University (Finland), Business Finland, and Academy of Finland.
V.-B. Popescu, J.A. Sanchez-Martinez, D. Schacherer, S. Safadoust, N. Majidi, A. Andronescu, A. Nedea, D. Ion, E. Mititelu, E. Czeizler, and I. Petre. NetControl4BioMed: A web-based platform for controllability analysis of protein-protein interaction networks. Bioinformatics, vol. 37, no. 21 (2021), available at https://doi.org/10.1093/bioinformatics/btab570 .