title: Population analyses of kinetic partitioning in protein folding.
abstract: A simple lattice model of protein folding is studied in order to analyze the kinetic partitioning phenomena in the energy landscape perspective. By restricting the area of conformational space, it becomes possible to follow many Monte Carlo trajectories until they reach equilibrium. Alteration of population of trajectories is monitored and the relations between the energy landscape and kinetics are examined. Kinetic partitioning phenomena are categorized into different types in terms of characteristic time constants and partitioning ratio. In a specific partitioning process, refolding proceeds along the parallel pathways; the time constants have a temperature dependence similar to that observed in hen lysozyme. High-energy conformations are classified into groups according to the probability that the trajectories starting from those conformations will reach each energy valley. The partitioning ratio is determined by the way in which the conformational space is organized into these groups.
authors: Graduate School of Human Informatics, Nagoya University, Nagoya, Japan.
authors: H K
authors: HK
authors: Nakamura
authors: M
authors: M
authors: Sasai
mesh_terms: D007700:Kinetics; D008958:Models, Molecular; D009010:Monte Carlo Method; D017510:Protein Folding; D011506:Proteins / Q000737:chemistry*
chemical_list: D011506:Proteins