Project description
New ways to control biological networks
Biological elements interact with others to form networks. The ability to control their dynamics is vital for scientific research, particularly for the pharmaceutical and medical industry. Despite advances in network science, the requisite computational approaches are still lacking. The NETCONTROLOGY project will explore how biological networks can be controlled with focus on two cutting-edge medical studies: to reprogram cancer networks (finding druggable vulnerabilities to improve anticancer therapeutics) and target the enzymatic sources of relevant oxidative stress to support neuroprotection in stroke. To do so, the project will develop nonlinear, quantitative and dynamic network models for biological networks with multiple regulatory mechanisms. It will also develop different measures to compare networks based on their controllability.
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).
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences clinical medicine oncology
- medical and health sciences basic medicine neurology stroke
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2018
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
6200 MD Maastricht
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.