NetControl4BioMed: a web-based platform for controllability analysis of protein–protein interaction networks

Author:

Popescu Victor-Bogdan1ORCID,Sánchez-Martín José Ángel2,Schacherer Daniela3ORCID,Safadoust Sadra4,Majidi Negin5,Andronescu Andrei6,Nedea Alexandru6,Ion Diana6,Mititelu Eduard6,Czeizler Eugen17,Petre Ion78

Affiliation:

1. Computer Science Unit, Åbo Akademi University, Turku 20520, Finland

2. Department of Information Systems, Polytechnic University of Madrid, 28040 Madrid, Spain

3. Faculty of Mathematics and Computer Science, Heidelberg University, 69120 Heidelberg, Germany

4. Department of Computer Science and Engineering, Koç University, Rumelifeneri Yolu 34450 Sarıyer, İstanbul, Turkey

5. Department of Computer Science and Engineering, University of California, Santa Cruz, CA 95064, USA

6. Faculty of Electronics, Telecommunications and Information Technology, POLITEHNICA University of Bucharest 061071, Romania

7. Department of Bioinformatics and Biostatistics, National Institute for Research and Development for Biological Sciences, Bucharest 060031, Romania

8. Department of Mathematics and Statistics, University of Turku, Turku 20014, Finland

Abstract

Abstract Motivation There is an increasing amount of data coming from genome-wide studies identifying disease-specific survivability-essential proteins and host factors critical to a cell becoming infected. Targeting such proteins has a strong potential for targeted, precision therapies. Typically however, too few of them are drug targetable. An alternative approach is to influence them through drug targetable proteins upstream of them. Structural target network controllability is a suitable solution to this problem. It aims to discover suitable source nodes (e.g. drug targetable proteins) in a directed interaction network that can control (through a suitable set of input functions) a desired set of targets. Results We introduce NetControl4BioMed, a free open-source web-based application that allows users to generate or upload directed protein–protein interaction networks and to perform target structural network controllability analyses on them. The analyses can be customized to focus the search on drug targetable source nodes, thus providing drug therapeutic suggestions. The application integrates protein data from HGNC, Ensemble, UniProt, NCBI and InnateDB, directed interaction data from InnateDB, Omnipath and SIGNOR, cell-line data from COLT and DepMap, and drug–target data from DrugBank. Availabilityand implementation The application and data are available online at https://netcontrol.combio.org/. The source code is available at https://github.com/Vilksar/NetControl4BioMed under an MIT license.

Funder

Romanian Ministry of Education and Research

Academy of Finland

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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