Evidence map›Paper›PMID 35013176›Full record

ArticleNature communications2022

Polyply; a python suite for facilitating simulations of macromolecules and nanomaterials.

Fabian Grünewald, Riccardo Alessandri, Peter C Kroon, Luca Monticelli, Paulo C T Souza, Siewert J Marrink

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
9.6field-weighted citation impact, top 1% of its field
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

58 citing papers in PubMed, 140 citations in OpenAlex.

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  2. Deciphering Concentration and Backbone Identity Effects on the Redox Properties of Phthalimide-Based Polymers.Chemistry of materials : a publication of the American Chemical Society · 2026
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  7. Automating Model Building for SPM Images of Biomolecules Using MISO.Journal of chemical information and modeling · 2026
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  12. Martini 3 Metabolome.Journal of chemical theory and computation · 2026
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  15. Article
  16. Condensates as Conformation Editors of Disordered Client Proteins.Journal of the American Chemical Society · 2026
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  18. Ultrasound-responsive liposomes: A mechanistic framework to decode the effects of acoustic parameters.Proceedings of the National Academy of Sciences of the United States of America · 2026
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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

6 authors at 2 institutions in 3 countries.

Fabian GrünewaldGroningen Biomolecular Sciences and Biotechnology Institute and Zernike Institute for Advanced Materials, University of Groningen, Groningen, The Netherlands.ORCID http://orcid.org/0000-0001-6979-1363
Riccardo AlessandriGroningen Biomolecular Sciences and Biotechnology Institute and Zernike Institute for Advanced Materials, University of Groningen, Groningen, The Netherlands.ORCID http://orcid.org/0000-0003-1948-5311
Peter C KroonGroningen Biomolecular Sciences and Biotechnology Institute and Zernike Institute for Advanced Materials, University of Groningen, Groningen, The Netherlands.ORCID http://orcid.org/0000-0001-9273-4850
Luca MonticelliMolecular Microbiology and Structural Biochemistry, UMR 5086 CNRS and University of Lyon, Lyon, France.ORCID http://orcid.org/0000-0002-6352-4595
Paulo C T SouzaMolecular Microbiology and Structural Biochemistry, UMR 5086 CNRS and University of Lyon, Lyon, France.ORCID http://orcid.org/0000-0003-0660-1301
Siewert J MarrinkGroningen Biomolecular Sciences and Biotechnology Institute and Zernike Institute for Advanced Materials, University of Groningen, Groningen, The Netherlands. s.j.marrink@rug.nl.ORCID http://orcid.org/0000-0001-8423-5277
University of Groningen · NLUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular dynamics simulations play an increasingly important role in the rational design of (nano)-materials and in the study of biomacromolecules. However, generating input files and realistic starting coordinates for these simulations is a major bottleneck, especially for high throughput protocols and for complex multi-component systems. To eliminate this bottleneck, we present the polyply software suite that provides 1) a multi-scale graph matching algorithm designed to generate parameters quickly and for arbitrarily complex polymeric topologies, and 2) a generic multi-scale random walk protocol capable of setting up complex systems efficiently and independent of the target force-field or model resolution. We benchmark quality and performance of the approach by creating realistic coordinates for polymer melt simulations, single-stranded as well as circular single-stranded DNA. We further demonstrate the power of our approach by setting up a microphase-separated block copolymer system, and by generating a liquid-liquid phase separated system inside a lipid vesicle.

Indexed as

Molecular Dynamics SimulationAlgorithmsAnimalsComputational BiologyLipidsMacromolecular SubstancesNanostructuresNucleic Acid ConformationSoftwareLipidsMacromolecular Substances

Identifiers

PMID35013176
PMCPMC8748707
OpenAlexW4205573868

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.