Evidence map›Paper›PMID 37050876›Full record

ArticleBiophysical journal2023

An implementation of the Martini coarse-grained force field in OpenMM.

Justin L MacCallum, Shangnong Hu, Stefan Lenz, Paulo C T Souza, Valentina Corradi, D Peter Tieleman

Abstract read
In one paragraph

Article in Biophysical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Compartment-guided assembly of large-scale molecular models with Bentopy.Protein science : a publication of the Protein Society · 2026
    Article
  7. Article
  8. Review
  9. MELD in Action: Harnessing Data to Accelerate Molecular Dynamics.Journal of chemical information and modeling · 2025
    Review
  10. Review
  11. Article
  12. [Research progress of coarse-grained molecular dynamics in drug carrier materials].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Review
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Justin L MacCallumDepartment of Chemistry, University of Calgary, Calgary, Alberta, Canada; Centre for Molecular Simulation, University of Calgary, Calgary, Alberta, Canada. Electronic address: jmaccall@ucalgary.ca.
Shangnong HuDepartment of Biological Sciences, University of Calgary, Calgary, Alberta, Canada; Centre for Molecular Simulation, University of Calgary, Calgary, Alberta, Canada.
Stefan LenzDepartment of Chemistry, University of Calgary, Calgary, Alberta, Canada; Centre for Molecular Simulation, University of Calgary, Calgary, Alberta, Canada.
Paulo C T SouzaMolecular Microbiology and Structural Biochemistry (MMSB - UMR 5086), CNRS & University of Lyon, Lyon, France.
Valentina CorradiDepartment of Biological Sciences, University of Calgary, Calgary, Alberta, Canada; Centre for Molecular Simulation, University of Calgary, Calgary, Alberta, Canada.
D Peter TielemanDepartment of Biological Sciences, University of Calgary, Calgary, Alberta, Canada; Centre for Molecular Simulation, University of Calgary, Calgary, Alberta, Canada. Electronic address: tieleman@ucalgary.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe a complete implementation of Martini 2 and Martini 3 in the OpenMM molecular dynamics software package. Martini is a widely used coarse-grained force field with applications in biomolecular simulation, materials, and broader areas of chemistry. It is implemented as a force field but makes extensive use of facilities unique to the GROMACS software, including virtual sites and bonded terms that are not commonly used in standard atomistic force fields. OpenMM is a flexible molecular dynamics package widely used for methods development and is competitive in speed on GPUs with other commonly used packages. OpenMM has facilities to easily implement new force field terms, external forces and fields, and other nonstandard features, which we use to implement all force field terms used in Martini 2 and Martini 3. This allows Martini simulations, starting with GROMACS topology files that are processed by custom scripts, with all the added flexibility of OpenMM. We provide a GitHub repository with test cases, compare accuracy and performance between GROMACS and OpenMM, and discuss the limitations of our implementation in terms of direct comparison with GROMACS. We describe a use case that implements the Modeling Employing Limited Data method to apply experimental constraints in a Martini simulation to efficiently determine the structure of a protein complex. We also discuss issues and a potential solution with the Martini 2 topology for cholesterol.

Indexed as

Molecular Dynamics SimulationSoftware

Identifiers

PMID37050876
PMCPMC10398343

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.