Explore the words cloud of the SyMBioSys project. It provides you a very rough idea of what is the project "SyMBioSys" about.
The following table provides information about the project.
Coordinator |
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
Organization address contact info |
Coordinator Country | United Kingdom [UK] |
Project website | http://www.h2020symbiosys.eu/ |
Total cost | 3˙805˙423 € |
EC max contribution | 3˙805˙423 € (100%) |
Programme |
1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers) |
Code Call | H2020-MSCA-ITN-2015 |
Funding Scheme | MSCA-ITN-ETN |
Starting year | 2015 |
Duration (year-month-day) | from 2015-09-01 to 2019-08-31 |
Take a look of project's partnership.
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.
Methodology for reverse engineering: model selection and parameter identification | Documents, reports | 2020-03-20 15:39:22 |
Public dissemination of project results | Documents, reports | 2020-03-20 15:39:22 |
Kinetic model describing E.coli central metabolism | Documents, reports | 2020-03-20 15:39:21 |
Transferable skills courses | Other | 2020-03-20 15:39:21 |
Final report | Documents, reports | 2020-03-20 15:39:22 |
Multi-scale models to capture heterogeneity in biological systems | Documents, reports | 2020-03-20 15:39:21 |
Conference organization | Other | 2020-03-20 15:39:21 |
Science-based courses | Other | 2020-03-20 15:39:21 |
Methodology to identify both structure and parameters of large signalling models | Documents, reports | 2020-03-20 15:39:20 |
Methodology for global dynamic optimization of cellular processes | Documents, reports | 2020-03-20 15:39:20 |
Methodology to model jointly signaling, regulatory and metabolic networks | Documents, reports | 2020-03-20 15:39:20 |
Doctoral degrees | Other | 2020-03-20 15:39:22 |
\"Optimal operation profile capturing heterogeneity of \"\"high-fidelity\"\" bioprocess\" | Documents, reports | 2020-03-20 15:39:19 |
Mathematical model-based strategy for the detection of drug targets | Documents, reports | 2020-03-20 15:39:22 |
Mathematical model to describe regulation of metabolism by dynamic cell | Documents, reports | 2020-03-20 15:39:22 |
SyMBioSys Website | Other | 2020-03-20 15:39:19 |
SyMBioSys vacancies published | Other | 2020-03-20 15:39:19 |
Researchers declaration of conformity | Documents, reports | 2020-03-20 15:39:19 |
Methodology for a more systematic model building, and subsequent model | Documents, reports | 2020-03-20 15:39:22 |
Integrated experimental-modeling platform to tailor treatments in a patient-specific | Documents, reports | 2020-03-20 15:39:21 |
Model-based dynamic optimization methods to explain (a posteriori use) or predict | Documents, reports | 2020-03-20 15:39:22 |
Kinetic model of human metabolism derived | Documents, reports | 2020-03-20 15:39:19 |
Development of an in silico leukemia model | Documents, reports | 2020-03-20 15:39:19 |
Take a look to the deliverables list in detail: detailed list of SyMBioSys deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2017 |
Romuald Győrgy, Michail E. Klontzas, Margaritis Kostoglou, Nicki Panoskaltsis, Michael C. Georgiadis, Athanasios Mantalaris An Integrated Experimental-Modelling Approach of Mesenchymal Stem Cell Bioprocess towards Osteogenic Differentiation published pages: 9877-9882, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2017.08.1603 |
IFAC-PapersOnLine 50/1 | 2020-03-20 |
2019 |
Anika Liu, Panuwat Trairatphisan, Enio Gjerga, Athanasios Didangelos, Jonathan Barrat, Julio-Saez Rodriguez From expression footprints to causal pathways: Contextualizing large signalling networks with CARNIVAL published pages: , ISSN: , DOI: 10.1101/541888 |
biorxiv | 2020-03-20 |
2019 |
Tajti, F., Antoranz, A., Ibrahim, M.M., Kim, H., Ceccarelli, F., Kuppe, C., Alexopoulos, L.G., Kramann, R. and Saez-Rodriguez, J A functional landscape of chronic kidney disease entities from public transcriptomic data published pages: , ISSN: , DOI: |
bioRxiv | 2020-03-20 |
2019 |
Jan Rožanc, Theodore Sakellaropoulos, Asier Antoranz, Cristiano Guttà , Biswajit Podder, Vesna Vetma, Nicole Rufo, Patrizia Agostinis, Vaia Pliaka, Thomas Sauter, Dagmar Kulms, Markus Rehm, Leonidas G. Alexopoulos Phosphoprotein patterns predict trametinib responsiveness and optimal trametinib sensitisation strategies in melanoma published pages: 1365-1378, ISSN: 1350-9047, DOI: 10.1038/s41418-018-0210-8 |
Cell Death & Differentiation 26/8 | 2020-03-20 |
2019 |
Alejandro F. Villaverde, Nikolaos Tsiantis, Julio R. Banga Full observability and estimation of unknown inputs, states and parameters of nonlinear biological models published pages: 20190043, ISSN: 1742-5689, DOI: 10.1098/rsif.2019.0043 |
Journal of The Royal Society Interface 16/156 | 2020-03-20 |
2019 |
Michail E. Klontzas, Supachai Reakasame, Raquel Silva, Jose C.F. Morais, Spyros Vernardis, Robert J. MacFarlane, Manolis Heliotis, Eleftherios Tsiridis, Nicki Panoskaltsis, Aldo R. Boccaccini, Athanasios Mantalaris Oxidized alginate hydrogels with the GHK peptide enhance cord blood mesenchymal stem cell osteogenesis: A paradigm for metabolomics-based evaluation of biomaterial design published pages: 224-240, ISSN: 1742-7061, DOI: 10.1016/j.actbio.2019.02.017 |
Acta Biomaterialia 88 | 2020-03-20 |
2018 |
Nikolaos Tsiantis, Eva Balsa-Canto, Julio R Banga Optimality and identification of dynamic models in systems biology: an inverse optimal control framework published pages: 2433-2440, ISSN: 1367-4803, DOI: 10.1093/bioinformatics/bty139 |
Bioinformatics 34/14 | 2020-03-20 |
2018 |
Jake Alan Pitt, Lucian Gomoescu, Constantinos C. Pantelides, Benoît Chachuat, Julio R. Banga Critical Assessment of Parameter Estimation Methods in Models of Biological Oscillators published pages: 72-75, ISSN: 2405-8963, DOI: 10.1016/j.ifacol.2018.09.040 |
IFAC-PapersOnLine 51/19 | 2020-03-20 |
2018 |
Osvaldo D. Kim, Miguel Rocha, Paulo Maia A Review of Dynamic Modeling Approaches and Their Application in Computational Strain Optimization for Metabolic Engineering published pages: , ISSN: 1664-302X, DOI: 10.3389/fmicb.2018.01690 |
Frontiers in Microbiology 9 | 2020-03-20 |
2018 |
Chris Fotis, Asier Antoranz, Dimitris Hatziavramidis, Theodore Sakellaropoulos, Leonidas G. Alexopoulos Network-based technologies for early drug discovery published pages: 626-635, ISSN: 1359-6446, DOI: 10.1016/j.drudis.2017.12.001 |
Drug Discovery Today 23/3 | 2020-03-20 |
2019 |
Jake Alan Pitt, Julio R. Banga Parameter estimation in models of biological oscillators: an automated regularised estimation approach published pages: , ISSN: 1471-2105, DOI: 10.1186/s12859-019-2630-y |
BMC Bioinformatics 20/1 | 2020-03-20 |
2018 |
Sara Barbosa, Bastian Niebel, Sebastian Wolf, Klaus Mauch, Ralf Takors A guide to gene regulatory network inference for obtaining predictive solutions: Underlying assumptions and fundamental biological and data constraints published pages: 37-48, ISSN: 0303-2647, DOI: 10.1016/j.biosystems.2018.10.008 |
Biosystems 174 | 2020-03-20 |
2018 |
Edoardo Gaude, Christina Schmidt, Payam A. Gammage, Aurelien Dugourd, Thomas Blacker, Sew Peak Chew, Julio Saez-Rodriguez, John S. O’Neill, Gyorgy Szabadkai, Michal Minczuk, Christian Frezza NADH Shuttling Couples Cytosolic Reductive Carboxylation of Glutamine with Glycolysis in Cells with Mitochondrial Dysfunction published pages: 581-593.e7, ISSN: 1097-2765, DOI: 10.1016/j.molcel.2018.01.034 |
Molecular Cell 69/4 | 2020-03-20 |
2019 |
Romuald Győrgy, Michail E. Klontzas, Margaritis Kostoglou, Nicki Panoskaltsis, Athanasios Mantalaris, Michael C. Georgiadis Capturing Mesenchymal Stem Cell Heterogeneity during Osteogenic Differentiation: An Experimental–Modeling Approach published pages: 13900-13909, ISSN: 0888-5885, DOI: 10.1021/acs.iecr.9b01988 |
Industrial & Engineering Chemistry Research 58/31 | 2020-03-20 |
2018 |
Bosisio, F.M., Antoranz, A., Bolognesi, M.M., Chinello, C., Wouters, J., Magni, F., Alexopoulos, L., Cattoretti, G. and van den Oord, J. High-dimensional single cell-analysis of lymphocytic activation in melanoma published pages: , ISSN: , DOI: |
bioRxiv | 2020-03-20 |
2019 |
Alexander Schäfer, Enio Gjerga, Richard WD Welford, Imke Renz, Francois Lehembre, Peter MA Groenen, Julio Saez-Rodriguez, Ruedi Aebersold, Matthias Gstaiger Elucidating essential kinases of endothelin signalling by logic modelling of phosphoproteomics data published pages: e8828, ISSN: 1744-4292, DOI: 10.15252/msb.20198828 |
Molecular Systems Biology 15/8 | 2020-03-20 |
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