Free Energy and Kinetics of Conformational Transitions from Voronoi Tessellated Milestoning with Restraining Potentials
- 31 August 2009
- journal article
- letter
- Published by American Chemical Society (ACS) in Journal of Chemical Theory and Computation
- Vol. 5 (10) , 2589-2594
- https://doi.org/10.1021/ct900279z
Abstract
Milestoning is a method aimed at reconstructing the statistical properties of the long-time dynamics of a system by exploiting the crossing statistics of a set of hypersurfaces, called the “milestones”, placed along the reaction coordinate [Faradjian and Elber, J. Chem. Phys.2004, 120, 10880]. Recently, Vanden-Eijnden and Venturoli [J. Chem. Phys.2009, 130, 194101] showed that when a complete Voronoi tessellation of the configurational space is available, milestoning can be reformulated to utilize the statistics from a series of independent simulations, each confined within a single cell via strict reflections at the boundaries. As a byproduct, this “Voronoi tessellated milestoning” method also permits to compute the free energy of the tessellation. Here, the method is extended to support the usage of differentiable restraining potentials to confine the trajectories within each cell.This publication has 29 references indexed in Scilit:
- CHARMM: The biomolecular simulation programJournal of Computational Chemistry, 2009
- Kinetics of Helix Unfolding: Molecular Dynamics Simulations with MilestoningThe Journal of Physical Chemistry A, 2009
- On the assumptions underlying milestoningThe Journal of Chemical Physics, 2008
- Building Markov state models along pathways to determine free energies and rates of transitionsThe Journal of Chemical Physics, 2008
- Finding Transition Pathways Using the String Method with Swarms of TrajectoriesThe Journal of Physical Chemistry B, 2008
- A Milestoning Study of the Kinetics of an Allosteric Transition: Atomically Detailed Simulations of Deoxy Scapharca HemoglobinBiophysical Journal, 2007
- Scalable molecular dynamics with NAMDJournal of Computational Chemistry, 2005
- GROMACS: Fast, flexible, and freeJournal of Computational Chemistry, 2005
- All-Atom Empirical Potential for Molecular Modeling and Dynamics Studies of ProteinsThe Journal of Physical Chemistry B, 1998
- Comparison of simple potential functions for simulating liquid waterThe Journal of Chemical Physics, 1983