Evidence map›Paper›PMID 28122220›Full record

ArticleBiophysical journal2017

Refinement of OprH-LPS Interactions by Molecular Simulations.

Joonseong Lee, Dhilon S Patel, Iga Kucharska, Lukas K Tamm, Wonpil Im

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

26 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
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  4. Article
  5. CHARMM-GUIJournal of chemical theory and computation · 2023
    Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Computational and structural biotechnology journal · 2022
    Review
  11. Review
  12. Review
  13. International journal of molecular sciences · 2021
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
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  20. 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 at 2 institutions in 1 country.

Joonseong LeeDepartment of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania; Bioengineering Program, Lehigh University, Bethlehem, Pennsylvania.
Dhilon S PatelDepartment of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania; Bioengineering Program, Lehigh University, Bethlehem, Pennsylvania.
Iga KucharskaCenter for Membrane and Cell Physiology, University of Virginia School of Medicine, Charlottesville, Virginia; Department of Molecular Physiology and Biological Physics, University of Virginia School of Medicine, Charlottesville, Virginia.
Lukas K TammCenter for Membrane and Cell Physiology, University of Virginia School of Medicine, Charlottesville, Virginia; Department of Molecular Physiology and Biological Physics, University of Virginia School of Medicine, Charlottesville, Virginia.
Wonpil ImDepartment of Biological Sciences, Lehigh University, Bethlehem, Pennsylvania; Bioengineering Program, Lehigh University, Bethlehem, Pennsylvania. Electronic address: wonpil@lehigh.edu.
Lehigh University · USUniversity of Virginia · US

Funding

Structure, Assembly, and Function of Outer Membrane ProteinsR01GM051329 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI TAMM, LUKAS K · 1997 to 2018
$6.4M
NIGMS NIH HHS R01 GM051329
6 · The paper itself

Abstract

The outer membrane (OM) of Gram-negative bacteria is composed of lipopolysaccharide (LPS) in the outer leaflet and phospholipids in the inner leaflet. The outer membrane protein H (OprH) of Pseudomonas aeruginosa provides an increased stability to the OMs by directly interacting with LPS. Here we report the influence of various P. aeruginosa and, for comparison, Escherichia coli LPS environments on the physical properties of the OMs and OprH using all-atom molecular dynamics simulations. The simulations reveal that although the P. aeruginosa OMs are thinner hydrophobic bilayers than the E. coli OMs, which is expected from the difference in the acyl chain length of their lipid A, this effect is almost imperceptible around OprH due to a dynamically adjusted hydrophobic match between OprH and the OM. The structure and dynamics of the extracellular loops of OprH show distinct behaviors in different LPS environments. Including the O-antigen greatly reduces the flexibility of the OprH loops and increases the interactions between these loops and LPS. Furthermore, our study shows that the interactions between OprH and LPS mainly depend on the secondary structure of OprH and the chemical structure of LPS, resulting in distinctive patterns in different LPS environments.

Indexed as

Molecular Dynamics SimulationAmino Acid SequenceBacterial Outer Membrane ProteinsCell MembraneDrug Resistance, MicrobialEscherichia coliLipopolysaccharidesProtein BindingProtein ConformationPseudomonas aeruginosaWaterBacterial Outer Membrane ProteinsLipopolysaccharidesOprH protein, Pseudomonas aeruginosaWater

Identifiers

PMID28122220
PMCPMC5266143
OpenAlexW2582899954

What OpenQuestion holds

Textmetadata
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.