Objective
Drug discovery and development has become a lengthy and resource-intensive process which is characterized by high attrition rates of candidate molecules. Candidate molecules are often identified in high-throughput screening experiments that capture only a small fraction of its biological activities and too many candidates fail in clinical development due to unwanted side-effects and lack of a therapeutic window. In addition, many approved drugs harbor unrecognized therapeutic efficacy in other indications that were not covered during development. Necessary deep characterization of candidate molecules during pre-clinical development demands further efficient and cost-effective methods and data rich assays. Providing a solution to compare phenotypic measurements to a reference database can facilitate the profiling of unwanted effects and the identification of drugs with potential for repurposing. High-content imaging provides a cost-effective solution to capture a broad range of biological responses, however, analysis of such data requires extensive expertise and data processing pipelines. This project has the following objectives: (i) to develop a cloud-based infrastructure for analyses of image-based drug screening (WP1), (ii) to perform a proof-of-concept screen to create a reference database and a showcase for commercialization (WP2), (iii) to conduct market analyses and development of a business plan for a spin-off company (WP3). The ERC Proof of Concept Grant will thus enable us, based on methods pioneered in our ERC Advanced Grant, to develop and perform a proof-of-concept as well as to develop an innovative knowledge base and cloud-IT product for drug development and repositioning.
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 basic medicine pharmacology and pharmacy drug discovery
- natural sciences computer and information sciences databases
- natural sciences computer and information sciences data science data processing
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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-2017-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.
69120 Heidelberg
Germany
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.