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

Victor Popescu | Zendy; José Ángel Sánchez Martín | Zendy; Daniela P. Schacherer | Zendy; Sadra Safadoust | Zendy; Negin Majidi | Zendy; Andrei Andronescu | Zendy; Alexandru Nedea | Zendy; Diana Ion | Zendy; Eduard Mititelu | Zendy; Eugen Czeizler | Zendy; Ion Petre | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

Victor Popescu,

José Ángel Sánchez Martín,

Daniela P. Schacherer,

Sadra Safadoust,

Negin Majidi,

Andrei Andronescu,

Alexandru Nedea,

Diana Ion,

Eduard Mititelu,

Eugen Czeizler,

Ion Petre

Publication year - 2021

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btab570

Subject(s) - computer science , drugbank , upload , source code , uniprot , codebase , computational biology , drug , world wide web , biology , biochemistry , gene , pharmacology , operating system

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research