Objective
The complex physiopathology of human chronic diseases includes networks robustness, feedback loops, and cross-talks, which may induce limited efficacy, resistance, and/or excessive toxicity of an individual drug. Learning how to combine drugs in order to improve treatment efficacy and lower undesired toxicity is a major biomedical challenge. Current strategies for drug repositioning and optimization of drug combinations have two man limitations: 1) they mostly use public data and databases, which are based on knowledge of individual drug stimuli and do not specifically analyze interactions, 2) they consider limited number of cellular outputs to analyze the response to a drug. In DrugSynergy, we will use an innovative systems biology large-scale data-driven approach to determine the interaction between two drugs at the highest possible resolution. Our computational analysis workflow has been extensively validated over the past years. It is now robust enough to be applied for the optimization of drug combinations.
Our business development strategies will follow several possible non-exclusive scenarios: 1) service providing to pharmaceutical and biotech companies to optimize their own pipeline of drug combinations, 2) generate intellectual property (IP) through identification of new drug combinations, optimization of existing drug combinations by addition of innovative drugs through screening of small molecule libraries, including from our Institute. These goals will be achieved in an academic structure, through licensing new IP to industrial partners, or within a start-up company created around the innovative pipelines and know-how of DrugSynergy. These options will be explored with our business development and industrial partnership department.
DrugSynergy is expected to have a strong biomedical and socio-economic impact because of the growing need of efficiently combine multiple drugs to address health challenges such as cancer and chronic inflammatory diseases.
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.
- natural sciences computer and information sciences databases
- medical and health sciences health sciences inflammatory diseases
- medical and health sciences clinical medicine oncology
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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.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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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.
ERC-POC - Proof of Concept Grant
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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) ERC-2015-PoC
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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.
75231 Paris
France
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.