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Systematic Models for Biological Systems Engineering Training Network

Systematic Models for Biological Systems Engineering Training Network

Objective

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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Coordinator

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE

Address

South Kensington Campus Exhibition Road
Sw7 2az London

United Kingdom

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 546 575,76

Participants (10)

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AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS

Spain

EU Contribution

€ 495 745,92

ARISTOTELIO PANEPISTIMIO THESSALONIKIS

Greece

EU Contribution

€ 242 386,92

INSILICO BIOTECHNOLOGY AG

Germany

EU Contribution

€ 249 216,48

PROCESS SYSTEMS ENTERPRISE LIMITED

United Kingdom

EU Contribution

€ 273 287,88

SILICOLIFE LDA

Portugal

EU Contribution

€ 238 356,36

HUMBOLDT-UNIVERSITAET ZU BERLIN

Germany

EU Contribution

€ 498 432,96

PROTATOUANS - ETAIREIA EREYNAS VIOTECHNOLOGIAS MONOPROSOPI ETAIREIA PERIORISMENIS EYTHINIS

Greece

EU Contribution

€ 242 386,92

RIJKSUNIVERSITEIT GRONINGEN

Netherlands

EU Contribution

€ 255 374,28

UNIVERSITAETSKLINIKUM AACHEN

Germany

EU Contribution

€ 498 432,96

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE

Switzerland

EU Contribution

€ 265 226,76

Partners (2)

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KAIST

Imperial Innovations Ltd

Project information

Grant agreement ID: 675585

Status

Ongoing project

  • Start date

    1 September 2015

  • End date

    31 August 2019

Funded under:

H2020-EU.1.3.1.

  • Overall budget:

    € 3 805 423,20

  • EU contribution

    € 3 805 423,20

Coordinated by:

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE

United Kingdom