Evidence map›Paper›PMID 23109834›Full record

ReviewInternational journal of molecular sciences2012

Multiscale models of the antimicrobial peptide protegrin-1 on gram-negative bacteria membranes.

Dan S Bolintineanu, Victor Vivcharuk, Yiannis N Kaznessis

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Computational studies of peptide-induced membrane pore formation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  11. 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

3 authors at 1 institution in 1 country.

Dan S BolintineanuDepartment of Chemical Engineering and Materials Science, University of Minnesota, 421 Washington Ave SE, Minneapolis, MN 55455, USA.
Victor VivcharukDepartment of Chemical Engineering and Materials Science, University of Minnesota, 421 Washington Ave SE, Minneapolis, MN 55455, USA.
Yiannis N KaznessisDepartment of Chemical Engineering and Materials Science, University of Minnesota, 421 Washington Ave SE, Minneapolis, MN 55455, USA.
University of Minnesota · US

Funding

Computational Modeling /Design of Antimicrobial PeptidesR01GM070989 · NIGMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI KAZNESSIS, YIANNIS · 2005 to 2009
$1.1M
NIGMS NIH HHS GM 070989NIGMS NIH HHS R01 GM070989
6 · The paper itself

Abstract

Antimicrobial peptides (AMPs) are naturally-occurring molecules that exhibit strong antibiotic properties against numerous infectious bacterial strains. Because of their unique mechanism of action, they have been touted as a potential source for novel antibiotic drugs. We present a summary of computational investigations in our lab aimed at understanding this unique mechanism of action, in particular the development of models that provide a quantitative connection between molecular-level biophysical phenomena and relevant biological effects. Our work is focused on protegrins, a potent class of AMPs that attack bacteria by associating with the bacterial membrane and forming transmembrane pores that facilitate the unrestricted transport of ions. Using fully atomistic molecular dynamics simulations, we have computed the thermodynamics of peptide-membrane association and insertion, as well as peptide aggregation. We also present a multi-scale analysis of the ion transport properties of protegrin pores, ranging from atomistic molecular dynamics simulations to mesoscale continuum models of single-pore electrodiffusion to models of transient ion transport from bacterial cells. Overall, this work provides a quantitative mechanistic description of the mechanism of action of protegrin antimicrobial peptides across multiple length and time scales.

Indexed as

Models, TheoreticalAnti-Bacterial AgentsAntimicrobial Cationic PeptidesCell MembraneGram-Negative BacteriaIon ChannelsIon TransportMicrobial Sensitivity TestsModels, MolecularMolecular Dynamics SimulationThermodynamicsAnti-Bacterial AgentsAntimicrobial Cationic PeptidesIon Channelsprotegrin-1antimicrobial peptidesion transportmolecular simulationsmultiscale modelspeptide-membrane interactionsprotegrin

Identifiers

PMID23109834
PMCPMC3472726
OpenAlexW2143671233

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.