Evidence map›Paper›PMID 24586129›Full record

ArticlePLoS computational biology2014

Escherichia coli peptidoglycan structure and mechanics as predicted by atomic-scale simulations.

James C Gumbart, Morgan Beeby, Grant J Jensen, Benoît Roux

Abstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Cell Disruption and RNA Extraction fromInternational journal of molecular sciences · 2026
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  4. MemPrO: A Predictive Tool for Membrane Protein Orientation.Journal of chemical theory and computation · 2026
    Article
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  6. Article
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  8. Integrative Structure and Function of thebioRxiv : the preprint server for biology · 2025
    Article
  9. Stress-mediated growth determinesProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Article
  12. Journal of bacteriology · 2024
    Article
  13. Article
  14. Review
  15. Article
  16. Article
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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

4 authors.

James C GumbartSchool of Physics, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Morgan BeebyImperial College London, South Kensington Campus, London, United Kingdom.
Grant J JensenCalifornia Institute of Technology and Howard Hughes Medical Institute, Pasadena, California, United States of America.
Benoît RouxDepartment of Biochemistry and Molecular Biology and Gordon Center for Integrative Science, The University of Chicago, Chicago, Illinois, United States of America.

Funding

Computational Studies of Ion Channels - Resubmission 01R01GM062342 · NIGMS · WEILL MEDICAL COLLEGE OF CORNELL UNIV · PI ROUX, BENOIT · 2001 to 2022
$8.7M
Beagle: A Supercomputer for Computational Biology, Simulation, and Data AnalysisS10RR029030 · NCRR · UNIVERSITY OF CHICAGO · PI FOSTER, IAN · 2010 to 2010
$7.0M
COMBATING INFECTION THROUGH ATOMIC-SCALE MODELING OF UNIQUE BACTERIAL SYSTEMSK22AI100927 · NIAID · GEORGIA INSTITUTE OF TECHNOLOGY · PI GUMBART, JAMES C. · 2013 to 2014
$269k
NCRR NIH HHS S10 RR029030NCRR NIH HHS S10 RR029030-01NIAID NIH HHS K22 AI100927NIAID NIH HHS K22-AI100927NIGMS NIH HHS R01 GM062342
6 · The paper itself

Abstract

Bacteria face the challenging requirement to maintain their shape and avoid rupture due to the high internal turgor pressure, but simultaneously permit the import and export of nutrients, chemical signals, and virulence factors. The bacterial cell wall, a mesh-like structure composed of cross-linked strands of peptidoglycan, fulfills both needs by being semi-rigid, yet sufficiently porous to allow diffusion through it. How the mechanical properties of the cell wall are determined by the molecular features and the spatial arrangement of the relatively thin strands in the larger cellular-scale structure is not known. To examine this issue, we have developed and simulated atomic-scale models of Escherichia coli cell walls in a disordered circumferential arrangement. The cell-wall models are found to possess an anisotropic elasticity, as known experimentally, arising from the orthogonal orientation of the glycan strands and of the peptide cross-links. Other features such as thickness, pore size, and disorder are also found to generally agree with experiments, further supporting the disordered circumferential model of peptidoglycan. The validated constructs illustrate how mesoscopic structure and behavior emerge naturally from the underlying atomic-scale properties and, furthermore, demonstrate the ability of all-atom simulations to reproduce a range of macroscopic observables for extended polymer meshes.

Indexed as

Biophysical PhenomenaCell WallComputational BiologyComputer SimulationEscherichia coliModels, MolecularMolecular ConformationMolecular Dynamics SimulationMolecular StructurePeptidoglycanPeptidoglycan

Identifiers

PMID24586129
PMCPMC3930494

What OpenQuestion holds

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LicenceCC BY
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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.