Evidence map›Paper›PMID 35157693›Full record

ArticlePLoS computational biology2022

gmxapi: A GROMACS-native Python interface for molecular dynamics with ensemble and plugin support.

M Eric Irrgang, Caroline Davis, Peter M Kasson

Abstract read
In one paragraph

Article in PLoS computational biology, 2022. 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.

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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

3 authors.

M Eric IrrgangDepartments of Molecular Physiology and Biomedical Engineering, University of Virginia, Charlottesville, Virginia, United States of America.ORCID 0000-0002-1272-3551
Caroline DavisDepartments of Molecular Physiology and Biomedical Engineering, University of Virginia, Charlottesville, Virginia, United States of America.ORCID 0000-0003-1190-2045
Peter M KassonDepartments of Molecular Physiology and Biomedical Engineering, University of Virginia, Charlottesville, Virginia, United States of America.ORCID 0000-0002-3111-8103

Funding

Hardening and Development of the GROMACS Molecular Simulation EngineR01GM115790 · NIGMS · UNIVERSITY OF VIRGINIA · PI KASSON, PETER M, SHIRTS, MICHAEL R · 2016 to 2020
$1.1M
NIGMS NIH HHS R01 GM115790
6 · The paper itself

Abstract

Gmxapi provides an integrated, native Python API for both standard and advanced molecular dynamics simulations in GROMACS. The Python interface permits multiple levels of integration with the core GROMACS libraries, and legacy support is provided via an interface that mimics the command-line syntax, so that all GROMACS commands are fully available. Gmxapi has been officially supported since the GROMACS 2019 release and is enabled by default in current versions of the software. Here we describe gmxapi 0.3 and later. Beyond simply wrapping GROMACS library operations, the API permits several advanced operations that are not feasible using the prior command-line interface. First, the API allows custom user plugin code within the molecular dynamics force calculations, so users can execute custom algorithms without modifying the GROMACS source. Second, the Python interface allows tasks to be dynamically defined, so high-level algorithms for molecular dynamics simulation and analysis can be coordinated with loop and conditional operations. Gmxapi makes GROMACS more accessible to custom Python scripting while also providing support for high-level data-flow simulation algorithms that were previously feasible only in external packages.

Indexed as

Molecular Dynamics SimulationSoftwareAlgorithms

Identifiers

PMID35157693
PMCPMC8880871

What OpenQuestion holds

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Registered trials

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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.