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SyMBioSys

Financiado

Systematic Models for Biological Systems Engineering Training Network

Mathematical, computational models are central in biomedical and biological systems engineering; models enable (i) mechanistically justifying experimental results via current knowledge and (ii) generating new testable hypotheses o... ver más

31/08/2019

IMPERIAL COLLEGE O...

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND ME... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 15 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2019-08-31

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

MSCA-ITN-2015-ETN: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN)

I+D

Cerrada hace 9 años

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15 Participantes

IMPERIAL COLLEGE OF SCIENCE...

546.58K€ | Lider

TINTES VISCOLAN

INSILICO

249.22K€ | Participante

Protavio Ltd

242.39K€ | Participante

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Últimas noticias

29-11-2024: IDAE En las últimas 48 horas el Organismo IDAE ha otorgado 4 concesiones

29-11-2024: ECE En las últimas 48 horas el Organismo ECE ha otorgado 2 concesiones

29-11-2024: CMVAMADRID En las últimas 48 horas el Organismo CMVAMADRID ha otorgado 37 concesiones

Duración del proyecto: 48 meses Fecha Inicio: 2015-08-11
Fecha Fin: 2019-08-31

Presupuesto del proyecto 4M€

Descripción del proyecto Mathematical, computational models are central in biomedical and biological systems engineering; models enable (i) mechanistically justifying experimental results via current knowledge and (ii) generating new testable hypotheses or novel intervention methods. SyMBioSys is a joint academic/industrial training initiative supporting the convergence of engineering, biological and computational sciences. The consortium's mutual goal is developing a new generation of innovative and entrepreneurial early-stage researchers (ESRs) to develop and exploit cutting-edge dynamic (kinetic) mathematical models for biomedical and biotechnological applications. SyMBioSys integrates: (i) six academic beneficiaries with a strong record in biomedical and biological systems engineering research, these include four universities and two research centres; (ii) four industrial beneficiaries including key players in developing simulation software for process systems engineering, metabolic engineering and industrial biotechnology; (iii) three partner organisations from pharmaceutical, biotechnological and entrepreneurial sectors. SyMBioSys is committed to supporting the establishment of a Biological Systems Engineering research community by stimulating programme coordination via joint activities. The main objectives of this initiative are: * Developing new algorithms and methods for reverse engineering and identifying dynamic models of biosystems and bioprocesses * Developing new model-based optimization algorithms for exploiting dynamic models of biological systems (e.g. predicting behavior in biological networks, identifying design principles and selecting optimal treatment intervention) * Developing software tools, implementing the preceding novel algorithms, using state-of-the-art software engineering practices to ensure usability in biological systems engineering research and practice * Applying the new algorithms and software tools to biomedical and biological test cases.

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