drMD: Molecular Dynamics for Experimentalists

Molecular dynamics (MD) simulations can be used by protein scientists to investigate a wide array of biologically relevant properties such as the effects of mutations on a protein's structure and activity, or probing intermolecular interactions with small molecule substrates or other macromolecules. Within the world of computational structural biology, several programs have become popular for running these simulations, but each of these programs requires a significant time investment from the researcher to run even simple simulations. Even after learning how to run and analyse simulations, many elements remain a "black box." This greatly limits the accessibility of molecular dynamics simulations for non-experts. Here we present drMD, an automated pipeline for running MD simulations using the OpenMM molecular mechanics toolkit. We have created drMD with non-experts in computational biology in mind. The drMD codebase has several functions that automatically handle routine procedures associated with running MD simulations. This greatly reduces the expertise required to run MD simulations. We have also introduced a series of quality-of-life features to make the process of running MD simulations both easier and more pleasant. Finally, drMD explains the steps it is taking interactively and, where useful, provides relevant references so the user can learn more. All these features make drMD an effective tool for learning MD while running publication-quality simulations. drMD is open source and can be found on GitHub: https://github.com/wells-wood-research/drMD.

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Institutions

Publication Details

Journal
Journal of Molecular Biology
Published
2024-12-24
DOI
https://doi.org/10.1016/j.jmb.2024.168918
Citations
4
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
0.94

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article

drMD: Molecular Dynamics for Experimentalists

Evangelia Notari, Christopher W. Wood, Eugene Shrimpton-Phoenix, Tadas Kluonis
4 citations
Journal of Molecular Biology
Protein Structure and Dynamics
0.94
article

drMD: Molecular Dynamics for Experimentalists

Evangelia Notari, Christopher W. Wood, Eugene Shrimpton-Phoenix, Tadas Kluonis
article en
4 citations

Abstract

Molecular dynamics (MD) simulations can be used by protein scientists to investigate a wide array of biologically relevant properties such as the effects of mutations on a protein's structure and activity, or probing intermolecular interactions with small molecule substrates or other macromolecules. Within the world of computational structural biology, several programs have become popular for running these simulations, but each of these programs requires a significant time investment from the researcher to run even simple simulations. Even after learning how to run and analyse simulations, many elements remain a "black box." This greatly limits the accessibility of molecular dynamics simulations for non-experts. Here we present drMD, an automated pipeline for running MD simulations using the OpenMM molecular mechanics toolkit. We have created drMD with non-experts in computational biology in mind. The drMD codebase has several functions that automatically handle routine procedures associated with running MD simulations. This greatly reduces the expertise required to run MD simulations. We have also introduced a series of quality-of-life features to make the process of running MD simulations both easier and more pleasant. Finally, drMD explains the steps it is taking interactively and, where useful, provides relevant references so the user can learn more. All these features make drMD an effective tool for learning MD while running publication-quality simulations. drMD is open source and can be found on GitHub: https://github.com/wells-wood-research/drMD.

Journal of Molecular BiologyVol. 437(15)
University of Edinburgh (GB)
UK Research and Innovation, Biotechnology and Biological Sciences Research Council
Openalex Percentile: Top 24%
Protein Structure and Dynamics
0.94
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