Publication: NetControl4BioMed: a web-based platform for controllability analysis of protein-protein interaction networks
Program
KU-Authors
KU Authors
Co-Authors
Popescu, Victor-Bogdan
Ángel Sánchez-Martín, José
Schacherer, Daniela
Majidi, Negin
Andronescu, Andrei
Nedea, Alexandru
Ion, Diana
Mititelu, Eduard
Czeizler, Eugen
Petre, Ion
Advisor
Publication Date
2021
Language
English
Type
Journal Article
Journal Title
Journal ISSN
Volume Title
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.
Description
Source:
Bioinformatics
Publisher:
Oxford University Press (OUP)
Keywords:
Subject
Biochemical engineering, Biotechnology, Microbiology, Computer science