Evidence map›Paper›PMID 31065808›Full record

ArticleJournal of molecular modeling2019

From GROMACS to LAMMPS: GRO2LAM : A converter for molecular dynamics software.

Hernán Chávez Thielemann, Annalisa Cardellini, Matteo Fasano, Luca Bergamasco, Matteo Alberghini, Gianmarco Ciorra, Eliodoro Chiavazzo, Pietro Asinari

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular modeling, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Ultrastructural Changes in Final Instar Larvae ofBiomimetics (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. 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

8 authors.

Hernán Chávez ThielemannDepartment of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy.
Annalisa CardelliniDepartment of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy.
Matteo FasanoDepartment of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy.
Luca BergamascoDepartment of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy.
Matteo AlberghiniDepartment of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy.
Gianmarco CiorraDepartment of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy.
Eliodoro ChiavazzoDepartment of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy.
Pietro AsinariDepartment of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy. pietro.asinari@polito.it.ORCID http://orcid.org/0000-0003-1814-3846

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atomistic simulations have progressively attracted attention in the study of physical-chemical properties of innovative nanomaterials. GROMACS and LAMMPS are currently the most widespread open-source software for molecular dynamics simulations thanks to their good flexibility, numerous functionalities and responsive community support. Nevertheless, the very different formats adopted for input and output files are limiting the possibility to transfer GROMACS simulations to LAMMPS. In this article, we present GRO2LAM, a modular and open-source Python 2.7 code for rapidly translating input files and parameters from GROMACS to LAMMPS format. The robustness of the tool has been assessed by comparing the simulation results obtained by GROMACS and LAMMPS, after the format conversion by GRO2LAM. Specifically, three nanoscale configurations of interest in both engineering and biomedical fields are studied, namely a carbon nanotube, an iron oxide nanoparticle, and a protein immersed in water. In perspective, GRO2LAM may be the first step to achieve a full interoperability between molecular dynamics software. This would allow to easily exploit their complementary potentialities and post-processing functionalities. Moreover, GRO2LAM could facilitate the cross-check of simulation results, guaranteeing the reproducibility of molecular dynamics models and testing their robustness. Graphical Abstract GRO2LAM, a modular and open-source Python code for rapidly translating input files and parameters from GROMACS to LAMMPS format.

Indexed as

ConversionGROMACSLAMMPSMolecular dynamicsReproducibility

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.