title: Stochastic dynamics of model proteins on a directed graph.
abstract: A method for reconstructing the potential energy landscape of simple polypeptidic chains is described. We show how to obtain a faithful representation of the energy landscape in terms of a suitable directed graph. Topological and dynamical indicators of the graph are shown to yield an effective estimate of the time scales associated with both folding and equilibration processes. This conclusion is drawn by comparing molecular dynamics simulations at constant temperature with the dynamics on the graph, defined as a temperature-dependent Markov process. The main advantage of the graph representation is that its dynamics can be naturally renormalized by collecting nodes into "hubs" while redefining their connectivity. We show that the dynamical properties at large time scales are preserved by the renormalization procedure. Moreover, we obtain clear indications that the heteropolymers exhibit common topological properties, at variance with the homopolymer, whose peculiar graph structure stems from its spatial homogeneity. In order to distinguish between "fast" and "slow" folders, one has to look at the kinetic properties of the corresponding directed graphs. In particular, we find that the average time needed to the fast folder for reaching its native configuration is two orders of magnitude smaller than its equilibration time while for the bad folder these time scales are comparable.
authors: Dipartimento di Fisica, Università di Firenze, via Sansone 1, 50019 Sesto Fiorentino, Italy. bongini@fi.infn.it
authors: Lorenzo
authors: L
authors: Bongini
authors: Lapo
authors: L
authors: Casetti
authors: Roberto
authors: R
authors: Livi
authors: Antonio
authors: A
authors: Politi
authors: Alessandro
authors: A
authors: Torcini
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D004735:Energy Transfer; D008956:Models, Chemical; D008958:Models, Molecular; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry* / Q000648:ultrastructure*; D013269:Stochastic Processes
chemical_list: D011506:Proteins