02/19/2010 – 2pm, GHC 6501.
Rule-based approaches (as in our own Kappa, or BNGL, or many other propositions allowing the consideration of "reaction classes") offer some means to capture combinatorial molecular interactions. This is trying to fill a need that seems ever more pressing - as molecular biology uncovers more amazing combinational structures. Here, we propose to pair these approaches with the use of a class of local energy functionals to guarantee their thermodynamical correctness. In so doing we get a more physically realistic, less parameter-hungry, and more structured approach to the modeling/programming of combinatorial molecular networks.
The formalism we present is related to Saiz and Vilar's energy-based description of macro-molecular assemblies (“Stochastic dynamics of macromolecular-assembly networks”, Mol Syst Biol - 2006); it is also related and eminently inspired by Julien Ollivier’s ANC - a general allosteric language for protein networks.
Joint work with:
E. Lai (Cambridge), N. Oury (Edinburgh, CSBE) and J. Ollivier (Edinburgh, CSBE and McGill)
Vincent Danos is professor at the University of Edinburgh, UK. He is also Directeur de Recherches CNRS with the Équipe Preuves, Programmes, Systèmes, which means he is a serious computer scientist. He is also interested in biology and has done path-breaking work towards new forms of modeling. He was a visiting professor at Harvard Systems Biology in 2006/7, while also working at Plectix in Boston.