Evidence map›Paper›PMID 23875688›Full record

ArticleBiochemistry2013

Simulating the mechanism of antimicrobial lipopeptides with all-atom molecular dynamics.

Joshua N Horn, Tod D Romo, Alan Grossfield

Abstract read
In one paragraph

Article in Biochemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Biological Membrane-Penetrating Peptides: Computational Prediction and Applications.Frontiers in cellular and infection microbiology · 2022
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Novel formulations for antimicrobial peptides.International journal of molecular sciences · 2014
    Review
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

3 authors.

Joshua N HornDepartment of Biochemistry and Biophysics, University of Rochester Medical Center, Rochester, NY 14642, USA.
Tod D Romo
Alan Grossfield

Funding

Training in Cellular, Biochemical and Molecular SciencesT32GM068411 · NIGMS · UNIVERSITY OF ROCHESTER · PI MAQUAT, LYNNE E · 2005 to 2019
$3.9M
Multiscale modeling of G protein-coupled receptorsR01GM095496 · NIGMS · UNIVERSITY OF ROCHESTER · PI GROSSFIELD, ALAN · 2011 to 2015
$1.3M
NIGMS NIH HHS GM068411NIGMS NIH HHS GM095496NIGMS NIH HHS R01 GM095496NIGMS NIH HHS T32 GM068411
6 · The paper itself

Abstract

The emergence of antibiotic resistant pathogens is one of the major medical concerns of the 21st century, prompting renewed interest in the development of novel antimicrobial compounds. Here we use microsecond-scale all-atom molecular dynamics simulations to characterize the structure, dynamics, and membrane-binding mechanism of a synthetic antimicrobial lipopeptide, C16-KGGK. Our simulations suggest that these lipopeptides prefer to aggregate in solution and alter the intrinsic order of the lipid bilayer upon binding. From these results and previous coarse-grained simulations, we have developed a simple model for the binding and insertion process for these lipopeptides.

Indexed as

Molecular Dynamics SimulationAlgorithmsAnti-Infective AgentsLipid BilayersLipopeptidesMembrane LipidsModels, MolecularPhosphatidylethanolaminesPhosphatidylglycerolsProtein BindingTime Factors1-palmitoyl-2-oleoylglycero-3-phosphoglycerol1-palmitoyl-2-oleoylphosphatidylethanolamineAnti-Infective AgentsLipid BilayersLipopeptidesMembrane LipidsPhosphatidylethanolaminesPhosphatidylglycerols

Identifiers

PMID23875688
PMCPMC4030210

What OpenQuestion holds

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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.