Evidence map›Paper›PMID 30892696›Full record

ReviewBiopolymers2019

Peptoid drug discovery and optimization via surface X-ray scattering.

Konstantin Andreev, Michael W Martynowycz, David Gidalevitz

Open access · greenAbstract readReview
In one paragraph

Review in Biopolymers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Structural Changes in Films of Pulmonary Surfactant Induced by Surfactant Vesicles.Langmuir : the ACS journal of surfaces and colloids · 2020
    Article
  4. The Best Peptidomimetic Strategies to Undercover Antibacterial Peptides.International journal of molecular sciences · 2020
    Review
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 3 institutions in 1 country.

Konstantin AndreevHoward Hughes Medical Institute, Northwestern University, Evanston, Illinois.
Michael W MartynowyczHoward Hughes Medical Institute, University of California, Los Angeles, California.
David GidalevitzCenter for the Molecular Study of Condensed Soft Matter and Department of Physics, Illinois Institute of Technology, Chicago, Illinois.ORCID https://orcid.org/0000-0002-3620-780X
Howard Hughes Medical Institute · USIllinois Institute of Technology · USNorthwestern University · US

Funding

Antimicrobial Peptides and their Synthetic Mimics - Investigating the Mechanism oR01AI073892 · NIAID · ILLINOIS INSTITUTE OF TECHNOLOGY · PI GIDALEVITZ, DAVID · 2008 to 2011
$1.2M
Argonne National Laboratory DE-AC02-06CH11357Defense Advanced Research Projects Agency DARPA W911NF-09-1-378National Institute of Health NIH R01 AI073892NIAID NIH HHS R01 AI073892
6 · The paper itself

Abstract

Synthetic polymers mimicking antimicrobial peptides have drawn considerable interest as potential therapeutics. N-substituted glycines, or peptoids, are recognized by their in vivo stability and ease of synthesis. Peptoids are thought to act primarily on the negatively charged lipids that are abundant in bacterial cell membranes. A mechanistic understanding of lipid-peptoid interaction at the molecular level will provide insights for rational design and optimization of peptoids. Here, we highlight recent studies that utilize synchrotron liquid surface X-ray scattering to characterize the underlying peptoid interactions with bacterial and eukaryotic membranes. Cellular membranes are highly complex, and difficult to characterize at the molecular level. Model systems including Langmuir monolayers, are used in these studies to reduce system complexity. The general workflow of these systems and the corresponding data analysis techniques are presented alongside recent findings. These studies investigate the role of peptoid physicochemical characteristics on membrane activity. Specifically, the roles of cationic charge, conformational constraint via macrocyclization, and hydrophobicity are shown to correlate their membrane interactions to biological activities in vitro. These structure-activity relationships have led to new insights into the mechanism of action by peptoid antimicrobials, and suggest optimization strategies for future therapeutics based on peptoids.

Indexed as

Drug DesignAntimicrobial Cationic PeptidesBacterial Outer MembraneCyclizationHydrophobic and Hydrophilic InteractionsPeptoidsPhosphatidylglycerolsThermodynamicsX-RaysAntimicrobial Cationic PeptidesPeptoidsPhosphatidylglycerolsantimicrobialLangmuir monolayerslipid membranepeptoidsX-ray scattering

Identifiers

PMID30892696
PMCPMC6661014
OpenAlexW2922780787

What OpenQuestion holds

Textmetadata
LicenceTDM
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.