Evidence map›Paper›PMID 33100401›Full record

ArticleMolecular physics2020

Towards Molecular Simulations that are Transparent, Reproducible, Usable By Others, and Extensible (TRUE).

Matthew W Thompson, Justin B Gilmer, Ray A Matsumoto, Co D Quach, Parashara Shamaprasad, Alexander H Yang, Christopher R Iacovella, Clare M Cabe, Peter T Cummings

Abstract read
In one paragraph

Article in Molecular physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Generative Models as an Emerging Paradigm in the Chemical Sciences.Journal of the American Chemical Society · 2023
    Review
  13. Review
  14. Article
  15. Article
  16. 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

9 authors.

Matthew W ThompsonDepartment of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA.
Justin B GilmerDepartment of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA.
Ray A MatsumotoDepartment of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA.
Co D QuachDepartment of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA.
Parashara ShamaprasadDepartment of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA.
Alexander H YangDepartment of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA.
Christopher R IacovellaDepartment of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA.
Clare M CabeDepartment of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA.
Peter T CummingsDepartment of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, TN, USA.

Funding

Insights into skin barrier function: In silico and experimental studies of healthy and diseased stratum corneum lipid modelsR01AR072679 · NIAMS · VANDERBILT UNIVERSITY · PI LAIBINIS, PAUL E · 2018 to 2022
$1.5M
NIAMS NIH HHS R01 AR072679
6 · The paper itself

Abstract

Systems composed of soft matter (e.g., liquids, polymers, foams, gels, colloids, and most biological materials) are ubiquitous in science and engineering, but molecular simulations of such systems pose particular computational challenges, requiring time and/or ensemble-averaged data to be collected over long simulation trajectories for property evaluation. Performing a molecular simulation of a soft matter system involves multiple steps, which have traditionally been performed by researchers in a "bespoke" fashion, resulting in many published soft matter simulations not being reproducible based on the information provided in the publications. To address the issue of reproducibility and to provide tools for computational screening, we have been developing the open-source Molecular Simulation and Design Framework (MoSDeF) software suite. In this paper, we propose a set of principles to create Transparent, Reproducible, Usable by others, and Extensible (TRUE) molecular simulations. MoSDeF facilitates the publication and dissemination of TRUE simulations by automating many of the critical steps in molecular simulation, thus enhancing their reproducibility. We provide several examples of TRUE molecular simulations: All of the steps involved in creating, running and extracting properties from the simulations are distributed on open-source platforms (within MoSDeF and on GitHub), thus meeting the definition of TRUE simulations.

Indexed as

molecular dynamicsMonte Carlo simulationopen-sourcereproducibility

Identifiers

PMID33100401
PMCPMC7576934

What OpenQuestion holds

Textmetadata
LicenceTDM
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.