Explore the words cloud of the ProFF project. It provides you a very rough idea of what is the project "ProFF" about.
The following table provides information about the project.
Coordinator |
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Organization address contact info |
Coordinator Country | France [FR] |
Total cost | 2˙141˙379 € |
EC max contribution | 2˙141˙379 € (100%) |
Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
Code Call | ERC-2014-CoG |
Funding Scheme | ERC-COG |
Starting year | 2015 |
Duration (year-month-day) | from 2015-09-01 to 2020-08-31 |
Take a look of project's partnership.
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1 | CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS | FR (PARIS) | coordinator | 2˙141˙379.00 |
Natural enzymes are awesome catalysts, in terms of their catalytic efficiency, selectivity, control mechanisms, etc. Revamped as laboratory or industrial tools, they have allowed more than a few breakthroughs, such as PCR, next generation sequencing or green chemistry. The next revolution will be brought by a new generation of extensively modified “enzymatic” catalysts working in non-natural environments, possibly build from non-natural chemistries and targeting an unlimited range of non-natural functions. However, their design is still an arduous process; computational design lacks precision while the combinatorial approach, directed evolution, is limited by labor-intensive or ad hoc selection stages.
We will remove the selection bottleneck in directed evolution by introducing biochemical computers able to perform this step autonomously. Based on recent developments in DNA-based molecular programming, these molecular scouts will be co-compartmentalized with genetic libraries into billions of individual compartments in micrometric emulsions. At each generation and in each droplet, after expression of the genotype, these molecular programs will autonomously: i- evaluate the phenotypic signature of a candidate, ii- integrate this information into a predefined scoring function and iii- propagate the relevant genetic information according to this score.
The programmability of this approach will make directed evolution versatile, faster, and able to address more challenging problems. The evolution dynamics itself become tunable, offering new perspectives on the fitness landscape of biopolymer catalysts. A quantitative in silico model will be built and integrated in a computer-assisted tool for the fast set-up of in vitro experiments and tuning of the various experimental knobs. Overall, we will close a virtuous circle by evolving the molecular tools enabling the programmable selection of the next generation of catalytic tools.
year | authors and title | journal | last update |
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2017 |
G. Gines, A. S. Zadorin, J.-C. Galas, T. Fujii, A. Estevez-Torres, Y. Rondelez Microscopic agents programmed by DNA circuits published pages: 351-359, ISSN: 1748-3387, DOI: 10.1038/nnano.2016.299 |
Nature Nanotechnology 12/4 | 2019-05-31 |
2017 |
Zadorin, Anton S.; Rondelez, Yannick Natural selection in compartmentalized environment with reshuffling published pages: , ISSN: , DOI: |
1 | 2019-04-18 |
2018 |
Adèle Dramé-Maigné, Anton Zadorin, Iaroslava Golovkova, Yannick Rondelez Quantifying the performance of high-throughput directed evolution protocols published pages: , ISSN: , DOI: |
2019-04-18 | |
2017 |
Anton S. Zadorin, Yannick Rondelez Selection strategies for randomly distributed replicators published pages: , ISSN: , DOI: |
2019-04-18 | |
2016 |
Kevin Montagne, Guillaume Gines, Teruo Fujii, Yannick Rondelez Boosting functionality of synthetic DNA circuits with tailored deactivation published pages: 13474, ISSN: 2041-1723, DOI: 10.1038/ncomms13474 |
Nature Communications 7 | 2019-05-31 |
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The information about "PROFF" are provided by the European Opendata Portal: CORDIS opendata.