SBMOpenMM: A Builder of Structure-Based Models for OpenMM

18 June 2021, Version 3
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Molecular dynamics (MD) simulations have become a standard tool to correlate the structure and function of biomolecules, and significant advances have been made in the study of proteins and their complexes. A major drawback of conventional MD simulations is the difficulty and cost of obtaining converged results, especially when exploring potential energy surfaces containing considerable energy barriers. This limits the wide use of MD calculations to determine the thermodynamic properties of biomolecular processes. Alternatively, a wide range of Structure-Based Models (SBMs) has been used in the literature to unravel the basic mechanisms of biomolecular dynamics. Here we introduce SBMOpenMM, a Python library to build force fields for SBMs, that uses the OpenMM framework to create and run SBM simulations. The code is flexible, user-friendly, and profits from the high customizability and performance provided by the OpenMM platform.

Keywords

Structure-Based Models
Molecular dynamics
Protein folding
SBMOpenMM
OpenMM

Supplementary materials

Title
Description
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Title
SBMOpenMM - Supplementary - JCIM Revision 1
Description
The supporting file contains a more detailed explanation of how the folding SBM molecular dynamics of FoxP1 were run and how the Markov State Model Analysis was carried out. The structure, force field parameters, and simulated data for this system are available in a public repository (https://doi.org/10.34810/data31). The supporting file also contains validations and a description of the implemented force objects in the SBMOpenMM library and the available default SBMs.
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Supplementary weblinks

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