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REMATCH

Financiado

Cerrado

Image based analysis for drug discovery and repurposing

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 experi... ver más

31/01/2020

GERMAN CANCER RESE...

150K€

Presupuesto del proyecto: 150K€

Líder del proyecto

DEUTSCHES KREBSFORSCHUNGSZENTRUM HEIDELBERG No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-01-31

ERC-2017-PoC: ERC-Proof of Concept

I+D

Cerrada hace 8 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

2 Participantes

GERMAN CANCER RESEARCH CENTE...

149.50K€ | Lider

ULMA C. Y E.S. COOP.

1.37M€ | Participante

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Duración del proyecto: 23 meses Fecha Inicio: 2018-02-14
Fecha Fin: 2020-01-31

Líder del proyecto

DEUTSCHES KREBSFORSCHUNGSZENTRUM HEIDELBERG No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 150K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

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