Evidence map›Paper›PMID 41472654›Full record

ArticleJournal of chemical theory and computation2026

A Coarse-Grained MARTINI Model for Mucins.

Thilakan Kanesalingam, Erik Weiand, Philippa M Cann, Marc Masen, James P Ewen

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Thilakan KanesalingamDepartment of Mechanical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, U.K.ORCID 0009-0004-0602-2611
Erik WeiandDepartment of Mechanical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, U.K.ORCID 0000-0003-1839-9817
Philippa M CannDepartment of Mechanical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, U.K.
Marc MasenDepartment of Mechanical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, U.K.
James P EwenDepartment of Mechanical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, U.K.ORCID 0000-0001-5110-6970

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highly glycosylated proteins known as mucins are the principal components of mucus, the gel-like secretion that protects and lubricates many tissues in the human body. Molecular dynamics (MD) simulations are a useful tool to investigate the nanoscale structure and function of proteins; however, the high molecular weight of mucins makes them a challenging target for atomistic MD simulations. To enable long-time MD simulations of large mucins, we develop and validate new coarse-grained force field parameters within the MARTINI 3 framework for the glycosylated domains of salivary mucin, MUC5B. We use atomistic MD simulations of segments of the protein backbone connected to

Indexed as

Molecular Dynamics SimulationMucin-5BMucinsHumansMUC5B protein, humanMucin-5BMucins

Identifiers

PMID41472654
PMCPMC12805576

What OpenQuestion holds

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LicenceCC BY
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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.