| Home > Publications database > Accelerating atomic-level protein simulations by flat-histogram techniques |
| Journal Article | PreJuSER-17850 |
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2011
American Institute of Physics
Melville, NY
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Please use a persistent id in citations: http://hdl.handle.net/2128/7353 doi:10.1063/1.3643328
Abstract: Flat-histogram techniques provide a powerful approach to the simulation of first-order-like phase transitions and are potentially very useful for protein studies. Here, we test this approach by implicit solvent all-atom Monte Carlo (MC) simulations of peptide aggregation, for a 7-residue fragment (GIIFNEQ) of the Cu/Zn superoxide dismutase 1 protein (SOD1). In simulations with 8 chains, we observe two distinct aggregated/non-aggregated phases. At the midpoint temperature, these phases coexist, separated by a free-energy barrier of height 2.7 k(B)T. We show that this system can be successfully studied by carefully implemented flat-histogram techniques. The frequency of barrier crossing, which is low in conventional canonical simulations, can be increased by turning to a two-step procedure based on the Wang-Landau and multicanonical algorithms.
Keyword(s): Molecular Dynamics Simulation (MeSH) ; Monte Carlo Method (MeSH) ; Superoxide Dismutase: chemistry (MeSH) ; Superoxide Dismutase: metabolism (MeSH) ; superoxide dismutase 1 ; Superoxide Dismutase ; J
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