Evidence map›Paper›PMID 32054852›Full record

ArticleScientific data2020

Molecular dynamics trajectories for 630 coarse-grained drug-membrane permeations.

Christian Hoffmann, Alessia Centi, Roberto Menichetti, Tristan Bereau

Abstract readDataset
In one paragraph

Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Bridging Scales: Coarse-Grained Protein Models in Computational Biology.Advances in experimental medicine and biology · 2026
    Review
  3. Article
  4. Article
  5. Applications of Molecular Dynamics Simulations in Drug Discovery.Methods in molecular biology (Clifton, N.J.) · 2024
    Review
  6. Review
  7. Automatic Optimization of Lipid Models in the Martini Force Field UsingJournal of chemical information and modeling · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. High-performance macromolecular data delivery and visualization for the web.Acta crystallographica. Section D, Structural biology · 2020
    Article
  13. 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

4 authors.

Christian HoffmannMax Planck Institute for Polymer Research, 55128, Mainz, Germany.
Alessia CentiMax Planck Institute for Polymer Research, 55128, Mainz, Germany.
Roberto MenichettiMax Planck Institute for Polymer Research, 55128, Mainz, Germany.ORCID http://orcid.org/0000-0002-5961-6438
Tristan BereauMax Planck Institute for Polymer Research, 55128, Mainz, Germany. bereau@mpip-mainz.mpg.de.ORCID http://orcid.org/0000-0001-9945-1271

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The permeation of small-molecule drugs across a phospholipid membrane bears much interest both in the pharmaceutical sciences and in physical chemistry. Connecting the chemistry of the drug and the lipids to the resulting thermodynamic properties remains of immediate importance. Here we report molecular dynamics (MD) simulation trajectories using the coarse-grained (CG) Martini force field. A wide, representative coverage of chemistry is provided: across solutes-exhaustively enumerating all 105 CG dimers-and across six phospholipids. For each combination, umbrella-sampling simulations provide detailed structural information of the solute at all depths from the bilayer midplane to bulk water, allowing a precise reconstruction of the potential of mean force. Overall, the present database contains trajectories from 15,120 MD simulations. This database may serve the further identification of structure-property relationships between compound chemistry and drug permeability.

Indexed as

Cell Membrane PermeabilityMolecular Dynamics SimulationChemistry, PharmaceuticalPharmaceutical PreparationsThermodynamicsPharmaceutical Preparations

Identifiers

PMID32054852
PMCPMC7018832

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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.