Evidence map›Paper›PMID 33539886›Full record

ArticleJournal of molecular biology2021

Moltemplate: A Tool for Coarse-Grained Modeling of Complex Biological Matter and Soft Condensed Matter Physics.

Andrew I Jewett, David Stelter, Jason Lambert, Shyam M Saladi, Otello M Roscioni, Matteo Ricci, Ludovic Autin, Martina Maritan, Saeed M Bashusqeh, Tom Keyes and 4 more

Abstract read
In one paragraph

Article in Journal of molecular biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing 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

92 citing papers in PubMed.

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  3. A rechargeable non-aqueous Mg-ONature chemistry · 2026
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  7. Collective fluctuations underlying nanobody inhibitory activity targetingbioRxiv : the preprint server for biology · 2026
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  14. Mechanistic insights into lenacapavir-induced off-pathway HIV-1 capsid assembly.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  15. Article
  16. A Coarse-Grained MARTINI Model for Mucins.Journal of chemical theory and computation · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Review

32 more citing papers are in PubMed but not listed here.

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

14 authors.

Andrew I JewettDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA. Electronic address: jewett.aij@gmail.com.
David StelterDepartment of Chemistry, Boston University, MA, USA.
Jason LambertDepartment of Chemistry, University of Tennessee, Knoxville, TN, USA.
Shyam M SaladiDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Otello M RoscioniMaterialX LTD, Bristol, UK.
Matteo RicciMaterialX LTD, Bristol, UK.
Ludovic AutinDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.
Martina MaritanDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA.
Saeed M BashusqehSchool of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Tom KeyesDepartment of Chemistry, Boston University, MA, USA.
Remus T DameLeiden Institute of Chemistry, Leiden University, Leiden, Netherlands.
Joan-Emma SheaDepartments of Chemistry and Biochemistry and Physics, University of California, Santa Barbara, CA, USA.
Grant J JensenDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA; Howard Hughes Medical Institute, California Institute of Technology, Pasadena, CA, USA.
David S GoodsellDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA; RCSB Protein Data Bank and Institute for Quantitative Biomedicine, Rutgers, the State University of New Jersey, Piscataway, NJ, USA. Electronic address: goodsell@scripps.edu.

Funding

MOLECULAR BASIS OF VIRAL PATHOGENESIST32AI007354 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI DE LA TORRE, JUAN C. · 1989 to 2020
$5.2M
Modeling and Interacting with the Visible Molecular CellR01GM120604 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI AUTIN, LUDOVIC · 2016 to 2025
$4.2M
Imaging large macromolecular complexes inside cells with electron cryotomographyR35GM122588 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI JENSEN, GRANT J · 2017 to 2020
$1.9M
NIAID NIH HHS T32 AI007354NIGMS NIH HHS R01 GM120604NIGMS NIH HHS R35 GM122588
6 · The paper itself

Abstract

Coarse-grained models have long been considered indispensable tools in the investigation of biomolecular dynamics and assembly. However, the process of simulating such models is arduous because unconventional force fields and particle attributes are often needed, and some systems are not in thermal equilibrium. Although modern molecular dynamics programs are highly adaptable, software designed for preparing all-atom simulations typically makes restrictive assumptions about the nature of the particles and the forces acting on them. Consequently, the use of coarse-grained models has remained challenging. Moltemplate is a file format for storing coarse-grained molecular models and the forces that act on them, as well as a program that converts moltemplate files into input files for LAMMPS, a popular molecular dynamics engine. Moltemplate has broad scope and an emphasis on generality. It accommodates new kinds of forces as they are developed for LAMMPS, making moltemplate a popular tool with thousands of users in computational chemistry, materials science, and structural biology. To demonstrate its wide functionality, we provide examples of using moltemplate to prepare simulations of fluids using many-body forces, coarse-grained organic semiconductors, and the motor-driven supercoiling and condensation of an entire bacterial chromosome.

Indexed as

Molecular Dynamics SimulationPhysicsSoftwareBacteriaDNADNAcoarse-grained simulationLAMMPSmolecular dynamicsmolecular modeling

Identifiers

PMID33539886
PMCPMC8119336

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.