Evidence map›Paper›PMID 29053635›Full record

ArticleMolecules (Basel, Switzerland)2017

Differential Interaction of Antimicrobial Peptides with Lipid Structures Studied by Coarse-Grained Molecular Dynamics Simulations.

Galo E Balatti, Ernesto E Ambroggio, Gerardo D Fidelio, M Florencia Martini, Mónica Pickholz

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 35 citations in OpenAlex.

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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

5 authors at 4 institutions in 1 country.

Galo E BalattiDepartamento de Física, Facultad de Ciencias Exactas y Naturales, CONICET-Universidad de Buenos Aires, IFIBA, Buenos Aires C1428BFA, Argentina. gbalatti@df.uba.ar.
Ernesto E AmbroggioCentro de Investigaciones en Química Biológica de Córdoba (CIQUIBIC), Departamento de Química Biológica "Dr. Ranwel Caputto", Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba X500HUA, Argentina. ambroggioernesto@gmail.com.
Gerardo D FidelioCentro de Investigaciones en Química Biológica de Córdoba (CIQUIBIC), Departamento de Química Biológica "Dr. Ranwel Caputto", Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba X500HUA, Argentina. gerardo.fidelio@gmail.com.
M Florencia MartiniDepartamento de Farmacología, Instituto de la Química y Metabolismo del Fármaco (IQUIMIFA), Facultad de Farmacia y Bioquímica, Cátedra de Química Medicinal, CONICET-Universidad de Buenos Aires, Buenos Aires C1113AAD, Argentina. flormartini1@gmail.com.
Mónica PickholzDepartamento de Física, Facultad de Ciencias Exactas y Naturales, CONICET-Universidad de Buenos Aires, IFIBA, Buenos Aires C1428BFA, Argentina. mpickholz@gmail.com.
University of Buenos Aires · ARConsejo Nacional de Investigaciones Científicas y Técnicas · ARResearch Centre in Biological Chemistry of Córdoba · ARUniversidad Nacional de Córdoba · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work; we investigated the differential interaction of amphiphilic antimicrobial peptides with 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) lipid structures by means of extensive molecular dynamics simulations. By using a coarse-grained (CG) model within the MARTINI force field; we simulated the peptide-lipid system from three different initial configurations: (a) peptides in water in the presence of a pre-equilibrated lipid bilayer; (b) peptides inside the hydrophobic core of the membrane; and (c) random configurations that allow self-assembled molecular structures. This last approach allowed us to sample the structural space of the systems and consider cooperative effects. The peptides used in our simulations are aurein 1.2 and maculatin 1.1; two well-known antimicrobial peptides from the Australian tree frogs; and molecules that present different membrane-perturbing behaviors. Our results showed differential behaviors for each type of peptide seen in a different organization that could guide a molecular interpretation of the experimental data. While both peptides are capable of forming membrane aggregates; the aurein 1.2 ones have a pore-like structure and exhibit a higher level of organization than those conformed by maculatin 1.1. Furthermore; maculatin 1.1 has a strong tendency to form clusters and induce curvature at low peptide-lipid ratios. The exploration of the possible lipid-peptide structures; as the one carried out here; could be a good tool for recognizing specific configurations that should be further studied with more sophisticated methodologies.

Indexed as

Amphibian ProteinsAntimicrobial Cationic PeptidesComputer SimulationLipid BilayersModels, MolecularMolecular ConformationMolecular Dynamics SimulationPhosphatidylcholines1-palmitoyl-2-oleoylphosphatidylcholineAmphibian ProteinsAntimicrobial Cationic Peptidesaurein 1.2 peptideLipid Bilayersmaculatin-1.1 protein, LitoriaPhosphatidylcholinesaureincoarse-grainhelicoidal peptideslipid bilayersmaculatinmolecular dynamics

Identifiers

PMID29053635
PMCPMC6151434
OpenAlexW2766443025

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.