Spectral Rate Theory for Two-State Kinetics.
Spectral Rate Theory for Two-State Kinetics.
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二态动力学的谱率理论
DOI:
10.1103/physrevx.4.011020
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发表时间:
2014
期刊:
影响因子:
--
通讯作者:
Frank Noé
中科院分区:
文献类型:
--
作者:
Jan-Hendrik Prinz;John D. Chodera;Frank Noé
Classical rate theories often fail in cases where the observable(s) or order parameter(s) used is a poor reaction coordinate or the observed signal is deteriorated by noise, such that no clear separation between reactants and products is possible. Here, we present a general spectral two-state rate theory for ergodic dynamical systems in thermal equilibrium that explicitly takes into account how the system is observed. The theory allows the systematic estimation errors made by standard rate theories to be understood and quantified. We also elucidate the connection of spectral rate theory with the popular Markov state modeling approach for molecular simulation studies. An optimal rate estimator is formulated that gives robust and unbiased results even for poor reaction coordinates and can be applied to both computer simulations and single-molecule experiments. No definition of a dividing surface is required. Another result of the theory is a model-free definition of the reaction coordinate quality. The reaction coordinate quality can be bounded from below by the directly computable observation quality, thus providing a measure allowing the reaction coordinate quality to be optimized by tuning the experimental setup. Additionally, the respective partial probability distributions can be obtained for the reactant and product states along the observed order parameter, even when these strongly overlap. The effects of both filtering (averaging) and uncorrelated noise are also examined. The approach is demonstrated on numerical examples and experimental single-molecule force-probe data of the p5ab RNA hairpin and the apo-myoglobin protein at low, focusing here on the case of two-state kinetics.
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DOI:
--
发表时间:
1997
期刊:
影响因子:
--
作者:
F. Barra;M. Clerc;E. Tirapegui
通讯作者:
E. Tirapegui
影响因子:
3.4
作者:
Elms, Phillip J.;Chodera, John D.;Marqusee, Susan
通讯作者:
Marqusee, Susan
影响因子:
4.4
作者:
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通讯作者:
Weber, Marcus
影响因子:
16.6
作者:
Hoffmann, Armin;Woodside, Michael T.
通讯作者:
Woodside, Michael T.
影响因子:
4.4
作者:
J. Montgomery;D. Chandler;B. Berne
通讯作者:
B. Berne