An interoperable implementation of collective‐variable based enhanced sampling methods in extended phase space within the OpenMM package

Author:

Bajpai Shitanshu1,Petkov Brian K.2,Tong Muchen2,Abreu Charlles R. A.3,Nair Nisanth N.1ORCID,Tuckerman Mark E.2456

Affiliation:

1. Department of Chemistry Indian Institute of Technology Kanpur (IITK) Kanpur India

2. Department of Chemistry New York University (NYU) New York New York USA

3. Chemical Engineering Department, Escola de Química Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil

4. Courant Institute of Mathematical Sciences New York University (NYU) New York New York USA

5. NYU‐ECNU Center for Computational Chemistry at NYU Shanghai Shanghai China

6. Simons Center for Computational Physical Chemistry New York University New York New York USA

Abstract

AbstractCollective variable (CV)‐based enhanced sampling techniques are widely used today for accelerating barrier‐crossing events in molecular simulations. A class of these methods, which includes temperature accelerated molecular dynamics (TAMD)/driven‐adiabatic free energy dynamics (d‐AFED), unified free energy dynamics (UFED), and temperature accelerated sliced sampling (TASS), uses an extended variable formalism to achieve quick exploration of conformational space. These techniques are powerful, as they enhance the sampling of a large number of CVs simultaneously compared to other techniques. Extended variables are kept at a much higher temperature than the physical temperature by ensuring adiabatic separation between the extended and physical subsystems and employing rigorous thermostatting. In this work, we present a computational platform to perform extended phase space enhanced sampling simulations using the open‐source molecular 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 conformational 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.

Funder

National Science Foundation

U.S. Department of Energy

Science and Engineering Research Board

Publisher

Wiley

Subject

Computational Mathematics,General Chemistry

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