Explore the words cloud of the CONSYN project. It provides you a very rough idea of what is the project "CONSYN" about.
The following table provides information about the project.
Coordinator |
TECHNISCHE UNIVERSITAT DARMSTADT
Organization address contact info |
Coordinator Country | Germany [DE] |
Total cost | 1˙996˙579 € |
EC max contribution | 1˙996˙579 € (100%) |
Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
Code Call | ERC-2017-COG |
Funding Scheme | ERC-COG |
Starting year | 2018 |
Duration (year-month-day) | from 2018-04-01 to 2023-03-31 |
Take a look of project's partnership.
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1 | TECHNISCHE UNIVERSITAT DARMSTADT | DE (DARMSTADT) | coordinator | 1˙996˙579.00 |
Synthetic biology is the bottom-up engineering of new molecular functionality inside a biological cell. Although it aims at a quantitative and compositional approach, most of today’s implementations of synthetic circuits are based on inefficient trial-and-error runs. This approach to circuit design does not scale well with circuit complexity and is against the basic paradigm of synthetic biology. This unsatisfactory state of affairs is partly due to the lack of the right computational methodology that can support the quantitative characterization of circuits and their significant context dependency, i.e., their change in behavior upon interactions with the host machinery and with other circuit elements. CONSYN will contribute computational methodology to overcome the trial-and-error approach and to ultimately turn synthetic circuit design into a rational bottom-up process that heavily relies on computational analysis before any actual biomolecular implementation is considered. In order to achieve this goal, we will work on the following agenda: (i) develop biophysical and statistical models of biomolecular contexts into which the synthetic circuit or synthetic part can be embedded in silico; (ii) devise new statistical inference methods that can deliver accurate characterization of circuits and their context dependency by making use of cutting-edge single-cell experimental data; (iii) derive new context-insensitive circuit designs through in silico sensitivity analysis and application of filtering theory; (iv) optimize protocols and measurement infrastructure using model-based experimental design yielding a better circuit and context characterization; (v) experimentally build synthetic circuits in vivo and in cell-free systems in order to validate and bring to life the above theoretical investigations. We are in the unique position to also address (v) in-house due to the experimental wetlab facilities in our group.
Data Management Plan | Open Research Data Pilot | 2019-08-07 10:53:38 |
Take a look to the deliverables list in detail: detailed list of CONSYN deliverables.
year | authors and title | journal | last update |
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2019 |
Altintan Derya
Koeppl Heinz Hybrid master equation for jump-diffusion approximation of biomolecular reaction networks published pages: , ISSN: 1572-9125, DOI: |
BIT Numerical Mathematics | 2019-11-28 |
2019 |
Christian Wildner, Heinz Koeppl Moment-Based Variational Inference for Markov Jump Processes published pages: , ISSN: , DOI: |
Proceedings of the 36th International Conference on Machine Learning | 2019-11-07 |
2019 |
François-Xavier Lehr, Maleen Hanst, Marc Vogel, Jennifer Kremer, H. Ulrich Göringer, Beatrix Suess, Heinz Koeppl Cell-Free Prototyping of AND-Logic Gates Based on Heterogeneous RNA Activators published pages: 2163-2173, ISSN: 2161-5063, DOI: 10.1021/acssynbio.9b00238 |
ACS Synthetic Biology 8/9 | 2019-11-07 |
2019 |
Johannes Falk, Leo Bronstein, Maleen Hanst, Barbara Drossel, Heinz Koeppl Context in synthetic biology: Memory effects of environments with mono-molecular reactions published pages: 24106, ISSN: 0021-9606, DOI: 10.1063/1.5053816 |
The Journal of Chemical Physics 150/2 | 2019-11-07 |
2019 |
Dominik Lindner, Michael Schmidt, Heinz Koeppl Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data published pages: , ISSN: , DOI: |
2019-11-07 |
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