Evidence map›Paper›PMID 39818849›Full record

ArticleJournal of chemical information and modeling2025

Systematic Approach to Parametrization of Disaccharides for the Martini 3 Coarse-Grained Force Field.

Astrid F Brandner, Iain P S Smith, Siewert J Marrink, Paulo C T Souza, Syma Khalid

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Martini 3 Metabolome.Journal of chemical theory and computation · 2026
    Article
  2. Article
  3. Article
  4. Coarse-Grained Martini 3 Model of Chondroitin Sulfate A.Journal of chemical theory and computation · 2026
    Article
  5. Article
  6. A Coarse-Grained MARTINI Model for Mucins.Journal of chemical theory and computation · 2026
    Article
  7. Article
  8. 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

5 authors.

Astrid F BrandnerDepartment of Biochemistry, University of Oxford, Oxford OX1 3QU, U.K.ORCID 0000-0002-5023-8127
Iain P S SmithDepartment of Biochemistry, University of Oxford, Oxford OX1 3QU, U.K.ORCID 0000-0002-1562-3361
Siewert J MarrinkGroningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Nijenborgh 7, 9747 AG Groningen, The Netherlands.ORCID 0000-0001-8423-5277
Paulo C T SouzaLaboratoire de Biologie et Modélisation de la Cellule, CNRS, UMR 5239, Inserm, U1293, Université Claude Bernard Lyon 1, Ecole Normale Supérieure de Lyon, 46 Allée d'Italie, 69364 Lyon, France.ORCID 0000-0003-0660-1301
Syma KhalidDepartment of Biochemistry, University of Oxford, Oxford OX1 3QU, U.K.ORCID 0000-0002-3694-5044

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sugars are ubiquitous in biology; they occur in all kingdoms of life. Despite their prevalence, they have often been somewhat neglected in studies of structure-dynamics-function relationships of macromolecules to which they are attached, with the exception of nucleic acids. This is largely due to the inherent difficulties of not only studying the conformational dynamics of sugars using experimental methods but indeed also resolving their static structures. Molecular dynamics (MD) simulations offer a route to the prediction of conformational ensembles and the time-dependent behavior of sugars and glycosylated macromolecules. However, at the all-atom level of detail, MD simulations are often too computationally demanding to allow a systematic investigation of molecular interactions in systems of interest. To overcome this, large scale simulations of complex biological systems have profited from advances in coarse-grained (CG) simulations. Perhaps the most widely used CG force field for biomolecular simulations is Martini. Here, we present a parameter set for glucose- and mannose-based disaccharides for Martini 3. The generation of the CG parameters from atomistic trajectories is automated as fully as possible, and where not possible, we provide details of the protocol used for manual intervention.

Indexed as

DisaccharidesMolecular Dynamics SimulationCarbohydrate ConformationGlucoseMannoseDisaccharidesGlucoseMannose

Identifiers

PMID39818849
PMCPMC11815824

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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.