作者: Jean-Baptiste Masson , Silvan Türkcan , Marianne Renner , Maxime Dahan , Antigoni Alexandrou
DOI: 10.1016/J.BPJ.2010.12.1054
关键词: Posterior probability 、 Chemistry 、 Statistical physics 、 Polynomial basis 、 Potential energy 、 Classical mechanics 、 Biomolecule 、 Energy (signal processing) 、 Trajectory 、 Thermal diffusivity 、 Monte Carlo method
摘要: Hopping is associated to escaping events of systems that were previously confined or localized. In biology, hopping happens when membrane proteins locally “jump” another confinement domain, sliding on DNA leave the double strand diffuse in local environment some neurotransmitters move near synapses.We recently implemented a novel inference approach exploits full information stored biomolecule trajectory extract force [1] and diffusivity maps [2] from non-equilibrium tagged motion. We showed that, motion confined, only few hundred points necessary precise accurate maps.We here introduce new scheme, still based biomolecular motion, able energy biomolecules. A potential energy, developed polynomial basis, inferred average (as well as its standard deviation) extracted Monte Carlo sampling Posterior distribution potentials. Inference performed numerical trajectories shows good agreement between input values even there unique event. apply this method various exhibiting both 1D 2D motion.This allows quantitative measuring biochemical data individual biomolecules vivo.[1] J.-B. Masson et al, PRL 102, 048103 (2009).[2] G. Voisinne Biophys. J. 98(4), pp 596–605 (2010).