Abstract
Collective variable (CV)-based enhanced sampling tech- niques are widely used today for accelerating barrier- crossing events in molecular simulations. A class of these methods, which includes Temperature Accelerated Molecu- lar Dynamics (TAMD)/driven-Adiabatic Free Energy Dy- namics (d-AFED), Unified Free Energy Dynamics (UFED), and Temperature Accelerated Sliced Sampling (TASS), use a unique extended variable formalism to achieve quick explo- ration of conformational space. These techniques are pow- erful, as they permit the simultaneous sampling of a large number of CVs compared to other techniques. Extended variables are kept at a much higher temperature than the physical temperature by ensuring adiabatic separation be- tween the extended and physical subsystems and employ- ing rigorous thermostatting. In this work, we present a computational platform to perform extended CV-based en- hanced sampling simulations using the open-source molec- ular dynamics engine OpenMM. The implementation allows users to have interoperability of sampling techniques, as well as employ state-of-the-art thermostats and multiple time- stepping. This work also presents protocols for determining the critical parameters and procedures for reconstructing high-dimensional free energy surfaces. As a demonstration, we present simulation results on the high dimensional con- formational landscapes of the alanine tripeptide in vacuo, tetra-N-methylglycine (tetra-sarcosine) peptoid in implicit solvent, and the Trp-cage mini protein in explicit water.
Supplementary materials
Title
Supporting Information: An interoperable implementation of collective-variable based enhanced sampling methods in extended phase space within the OpenMM package
Description
Supporting Information:
An interoperable implementation of
collective-variable based enhanced sampling
methods in extended phase space within the
OpenMM package
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Supplementary weblinks
Title
Unified Free Energy Dynamics with OpenMM
Description
UFEDMM extends OpenMM's Python API so that the user can easily run efficient simulations in extended phase spaces, perform enhanced sampling of systems with barriers and rare events, and compute accurate free-energy surfaces for collective variables or reaction coordinates.
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