Evidence map›Paper›PMID 19059201›Full record

ArticleBiochimica et biophysica acta2009

Effects of arginine density on the membrane-bound structure of a cationic antimicrobial peptide from solid-state NMR.

Ming Tang, Alan J Waring, Mei Hong

Abstract read
In one paragraph

Article in Biochimica et biophysica acta, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  3. MASBiophysical journal · 2016
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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

3 authors at 2 institutions in 1 country.

Ming TangDepartment of Chemistry, Iowa State University, Ames, IA 50011, USA.
Alan J Waring
Mei Hong
Iowa State University · USUniversity of California, Los Angeles · US

Funding

Structures and lipid interactions of curvature-inducing membrane peptides by NMRR01GM066976 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HONG, MEI · 2003 to 2021
$4.8M
NIGMS NIH HHS R01 GM066976
6 · The paper itself

Abstract

Solid-state NMR spectroscopy is used to determine the membrane-bound topological structure of a cationic beta-hairpin antimicrobial peptide in which the number of Arg residues has been halved. The parent peptide, PG-1, was previously found to form transmembrane beta-barrels in anionic membranes where the Arg residues complex with the lipid phosphate groups to cause toroidal pore defects in the membrane. In comparison, the charge-attenuated and less active mutant studied here forms beta-sheets that lie on the surface of the zwitterionic membrane and only partially insert into the anionic membrane. The mutant also exhibits much looser contact with the lipid headgroups. These results indicate that transmembrane insertion and tight Arg-phosphate association are two important elements for strong antimicrobial activities of this class of peptides. Comparison with other beta-hairpin antimicrobial peptides studied so far further suggests a relative potency scale for the various mechanisms of action for the beta-sheet family of antimicrobial peptides. The transmembrane insertion-toroidal pore mechanism is the most potent in disrupting the lipid bilayer, followed by the large-amplitude in-plane motional mechanism. The carpet model, where peptides aggregate on the membrane surface to cause lateral expansion and eventual micellization of the membrane, is a weaker mechanism of action.

Indexed as

Amino Acid SequenceAntimicrobial Cationic PeptidesArginineDiffusionLipid BilayersMagnetic Resonance SpectroscopyMolecular Sequence DataAntimicrobial Cationic PeptidesArginineLipid Bilayers

Identifiers

PMID19059201
PMCPMC4127318
OpenAlexW2024774116

What OpenQuestion holds

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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.