[CoA 2014] André Estévez-Torres (A/B)
- il y a 10 ans
troisièmes journées du GT CoA Complexité et Algorithmes :
Algorithmes naturels
du mercredi 10 septembre 12h30 au vendredi 12 septembre 13h30, Université Paris Diderot
LIAFA, Salle 1009, Bâtiment Sophie Germain Paris 13ème
16:50-17:50 - Exposé invité n°6 : André ESTÉVEZ-TORRES (LPN)
Programming reaction-diffusion spatio-temporal patterns with DNA [A/B]
The generation of macroscopic spatiotemporal order in a system of microscopic objects is a fundamental question with important implications in biological morphogenesis. Self-assembly and self-organization are two fundamental processes that contribute to the emergence of such order, in particular in molecular systems. I will first review some examples of these two processes and make a distinction between the two, with an emphasis in nucleic acids. I will then introduce an experimental set of highly programmable synthetic chemical reaction networks based on DNA. Finally, I will show that this set of reactions is particularly advantageous for studying spatio-temporal chemical self-organization.
Algorithmes naturels
du mercredi 10 septembre 12h30 au vendredi 12 septembre 13h30, Université Paris Diderot
LIAFA, Salle 1009, Bâtiment Sophie Germain Paris 13ème
16:50-17:50 - Exposé invité n°6 : André ESTÉVEZ-TORRES (LPN)
Programming reaction-diffusion spatio-temporal patterns with DNA [A/B]
The generation of macroscopic spatiotemporal order in a system of microscopic objects is a fundamental question with important implications in biological morphogenesis. Self-assembly and self-organization are two fundamental processes that contribute to the emergence of such order, in particular in molecular systems. I will first review some examples of these two processes and make a distinction between the two, with an emphasis in nucleic acids. I will then introduce an experimental set of highly programmable synthetic chemical reaction networks based on DNA. Finally, I will show that this set of reactions is particularly advantageous for studying spatio-temporal chemical self-organization.