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NETCONTROLOGY SIGNED

Controllability of biological networks

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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Project "NETCONTROLOGY" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITEIT MAASTRICHT 

Organization address
address: Minderbroedersberg 4-6
city: MAASTRICHT
postcode: 6200 MD
website: http://www.maastrichtuniversity.nl

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Total cost 253˙052 €
 EC max contribution 253˙052 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-GF
 Starting year 2020
 Duration (year-month-day) from 2020-01-06   to  2023-01-05

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITEIT MAASTRICHT NL (MAASTRICHT) coordinator 253˙052.00
2    NORTHEASTERN UNIVERSITY US (BOSTON MA) partner 0.00

Map

 Project objective

A dynamic system is controllable if, given suitable inputs, it can be driven from any initial state to any desired final state in finite time. Despite the advances in network science, computational approaches that can be used to characterize the dynamics of complex, biological systems are still lacking. This project aims at determining how biological networks can be controlled with focus on two cutting-edge case studies from medicine. Existing controllability approaches work essentially on graphs and do not consider other constraints typically arising in biological systems (e.g. steady-state). This strengthens the need for development of such methods. In this project, nonlinear, quantitative and dynamic network models will be developed for biological networks with multiple regulatory mechanisms. In these networks, it is vital to identify the subset of key components and regulatory interactions whose perturbation leads to the desirable functional changes. However, it is typically neither feasible, nor necessary to control the whole network. Instead, for many practical applications, it would suffice to control a preselected subsystem of target nodes. Besides full controllability, target controllability of the networks will also be addressed. Different measures will be developed to compare networks based on their controllability. The established network control principles will be exploited to (a) reprogram cancer networks through their druggable vulnerabilities to improve anticancer therapeutics (case study 1), and (b) target the enzymatic sources of relevant oxidative stress to support neuroprotection in stroke (case study 2).

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The information about "NETCONTROLOGY" are provided by the European Opendata Portal: CORDIS opendata.

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