2014
DOI: 10.1063/1.4894436
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Derivation of a Markov state model of the dynamics of a protein-like chain immersed in an implicit solvent

Abstract: A Markov state model of the dynamics of a protein-like chain immersed in an implicit hard sphere solvent is derived from first principles for a system of monomers that interact via discontinuous potentials designed to account for local structure and bonding in a coarse-grained sense. The model is based on the assumption that the implicit solvent interacts on a fast time scale with the monomers of the chain compared to the time scale for structural rearrangements of the chain and provides sufficient friction so… Show more

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Cited by 3 publications
(4 citation statements)
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References 47 publications
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“…where U (r ij ) is the potential energy of the local bond, r ij is the distance between two nearest or next-nearest neighboring beads i and j, and σ 1 and σ 2 are the minimum and maximum bonding distances. For nearest neighbors, σ 1 = 1, which is taken as the unit of length in the model, and σ 2 = 1.17 32 . For next-nearest neighbors, σ 1 = 1.4 and σ 2 = 1.67 are chosen to restrict the bond angles to be between 75 • and 112 • to mimic the space that the side chains in amino acids would normally occupy in a protein.…”
Section: The Coarse-grained Modelmentioning
confidence: 99%
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“…where U (r ij ) is the potential energy of the local bond, r ij is the distance between two nearest or next-nearest neighboring beads i and j, and σ 1 and σ 2 are the minimum and maximum bonding distances. For nearest neighbors, σ 1 = 1, which is taken as the unit of length in the model, and σ 2 = 1.17 32 . For next-nearest neighbors, σ 1 = 1.4 and σ 2 = 1.67 are chosen to restrict the bond angles to be between 75 • and 112 • to mimic the space that the side chains in amino acids would normally occupy in a protein.…”
Section: The Coarse-grained Modelmentioning
confidence: 99%
“…In a viscous fluid environment, there is a separation of time scale between the typical time for a change of configuration of a protein and the time it takes to equilibrate locally in each state. Under such conditions, the evolution of populations of configurations at intermediate time scales that are long compared to the molecular time scale, but much shorter than the overall folding time, can be described by a Markov state model 32 . The dynamics can describe the folding process as a series of transitions between configurations, defined in Eq.…”
Section: B the Transition Rate Matrix And The Mean First Passage Timesmentioning
confidence: 99%
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