Abstract

Mechanisms of rare transitions between long-lived stable states are often analyzed in terms of commitment probabilities, determined from swarms of short molecular dynamics trajectories. Here, we present a computer simulation method to determine rate constants from such short trajectories combined with free energy calculations. The method, akin to the Bennett-Chandler approach for the calculation of reaction rate constants, requires the definition of a valid reaction coordinate and can be applied to both under- and overdamped dynamics. We verify the correctness of the algorithm using a one-dimensional random walker in a double-well potential and demonstrate its applicability to complex transitions in condensed systems by calculating cavitation rates for water at negative pressures.

Highlights

  • Many processes occurring in molecular systems are dominated by rare transitions between long-lived states.[1,2] Examples include nucleation during rst-order phase transitions, chemical reactions in solution, and conformational changes of biological macromolecules

  • We obtain the correlation function hhA(0)hB(t)iS from a single long trajectory produced by a straightforward Brownian dynamics simulation of 5 Â 108 time steps

  • We have presented an algorithm to calculate reaction rate constants by combining dynamical information extracted from such brief trajectories with the results of free energy calculations

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Summary

Introduction

Many processes occurring in molecular systems are dominated by rare transitions between long-lived states.[1,2] Examples include nucleation during rst-order phase transitions, chemical reactions in solution, and conformational changes of biological macromolecules. In analyzing rare transitions in complex systems, the goal is to nd a reaction coordinate, i.e., a dynamically meaningful variable that captures the essential physics of the transition and is capable of quantifying its progress. Once a reaction coordinate is known it may be used to construct low-dimensional mechanistic models[3,4] and, enhance the sampling of transition pathways and the calculation of rate constants.[5,6,7,8]. The quality of a reaction coordinate can be assessed in terms of the committor, i.e., the probability of a given con guration to rst reach the product

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