Evidence map›Paper›PMID 33458490›Full record

ArticleACS omega2021

Molecular Dynamics Simulation of the Interaction of Two Linear Battacin Analogs with Model Gram-Positive and Gram-Negative Bacterial Cell Membranes.

Aparajita Chakraborty, Elisey Kobzev, Jonathan Chan, Gayan Heruka de Zoysa, Vijayalekshmi Sarojini, Thomas J Piggot, Jane R Allison

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 38 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

7 authors at 2 institutions in 2 countries.

Aparajita ChakrabortyMaurice Wilkins Centre for Molecular Biodiscovery, University of Auckland, Auckland 1010, New Zealand.
Elisey KobzevMaurice Wilkins Centre for Molecular Biodiscovery, University of Auckland, Auckland 1010, New Zealand.
Jonathan ChanSchool of Biological Sciences, University of Auckland, Auckland 1010, New Zealand.
Gayan Heruka de ZoysaSchool of Chemical Sciences, University of Auckland, Auckland 1010, New Zealand.
Vijayalekshmi SarojiniSchool of Chemical Sciences, University of Auckland, Auckland 1010, New Zealand.
Thomas J PiggotSchool of Chemistry, University of Southampton, Southampton SO17 1BJ, United Kingdom.
Jane R AllisonMaurice Wilkins Centre for Molecular Biodiscovery, University of Auckland, Auckland 1010, New Zealand.
University of Auckland · NZDefence Science and Technology Laboratory · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial peptides (AMPs) are a potential solution to the increasing threat of antibiotic resistance, but successful design of active but nontoxic AMPs requires understanding their mechanism of action. Molecular dynamics (MD) simulations can provide atomic-level information regarding how AMPs interact with the cell membrane. Here, we have used MD simulations to study two linear analogs of battacin, a naturally occurring cyclic, lipidated, nonribosomal AMP. Like battacin, these analogs are active against Gram-negative multidrug resistant and Gram-positive bacteria, but they are less toxic than battacin. Our simulations show that this activity depends upon a combination of positively charged and hydrophobic moieties. Favorable interactions with negatively charged membrane lipid head groups drive association with the membrane and insertion of hydrophobic residues, and the N-terminal lipid anchors the peptides to the membrane surface. Both effects are required for stable membrane binding.

Identifiers

PMID33458490
PMCPMC7807746
OpenAlexW3117013018

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.