Evidence map›Paper›PMID 35047907›Full record

ArticleFrontiers in medical technology2021

Modeling Cell Selectivity of Antimicrobial Peptides: How Is the Selectivity Influenced by Intracellular Peptide Uptake and Cell Density.

Bethany R Schefter, Shokoofeh Nourbakhsh, Sattar Taheri-Araghi, Bae-Yeun Ha

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medical technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

4 authors at 2 institutions in 2 countries.

Bethany R SchefterDepartment of Physics and Astronomy, University of Waterloo, Waterloo, ON, Canada.
Shokoofeh NourbakhshDepartment of Physics and Astronomy, University of Waterloo, Waterloo, ON, Canada.
Sattar Taheri-AraghiDepartment of Physics and Astronomy, California State University, Northridge, CA, United States.
Bae-Yeun HaDepartment of Physics and Astronomy, University of Waterloo, Waterloo, ON, Canada.
University of Waterloo · CACalifornia State University, Northridge · US

Funding

Dynamics of the Activity of Antimicrobial Peptides at the Population and the Single-Cell LevelsR15GM124640 · NIGMS · CALIFORNIA STATE UNIVERSITY NORTHRIDGE · PI TAHERI ARAGHI, SATTAR · 2017 to 2017
$435k
NIGMS NIH HHS R15 GM124640
6 · The paper itself

Abstract

Antimicrobial peptides (AMPs) are known to attack bacteria selectively over their host cells. Many attempts have been made to use them as a template for designing peptide antibiotics for fighting drug-resistant bacteria. A central concept in this endeavor is "peptide selectivity," which measures the "quality" of peptides. However, the relevance of selectivity measurements has often been obscured by the cell-density dependence of the selectivity. For instance, the selectivity can be overestimated if the cell density is larger for the host cell. Furthermore, recent experimental studies suggest that peptide trapping in target bacteria magnifies the cell-density dependence of peptide activity. Here, we propose a biophysical model for peptide activity and selectivity, which assists with the correct interpretation of selectivity measurements. The resulting model shows how cell density and peptide trapping in cells influence peptide activity and selectivity: while these effects can alter the selectivity by more than an order of magnitude, peptide trapping works in favor of host cells at high host-cell densities. It can be used to correct selectivity overestimates.

Indexed as

antimicrobial peptidesbiophysical modelingLangmuir binding modelminimal hemolytic concentrationminimal inhibition concentrationpeptide activity and selectivity

Identifiers

PMID35047907
PMCPMC8757749
OpenAlexW3130872260

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.