Evidence map›Paper›PMID 37011732›Full record

ReviewBiochimica et biophysica acta. Molecular cell research2023

Using display technologies to identify macrocyclic peptide antibiotics.

Justin R Randall, Xun Wang, Kyra E Groover, Angela C O'Donnell, Bryan W Davies

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biochimica et biophysica acta. Molecular cell research, 2023. 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
0.7field-weighted citation impact, top 32% 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, 4 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

5 authors at 1 institution in 1 country.

Justin R RandallUniversity of Texas at Austin, Department of Molecular Biosciences, Austin, TX, USA. Electronic address: justrand@utexas.edu.
Xun WangUniversity of Texas at Austin, Department of Molecular Biosciences, Austin, TX, USA.
Kyra E GrooverUniversity of Texas at Austin, Department of Molecular Biosciences, Austin, TX, USA.
Angela C O'DonnellUniversity of Texas at Austin, Department of Molecular Biosciences, Austin, TX, USA.
Bryan W DaviesUniversity of Texas at Austin, Department of Molecular Biosciences, Austin, TX, USA. Electronic address: bwdavies@utexas.edu.
The University of Texas at Austin · US

Funding

Investigating nanobodies to target multidrug resistant bacterial pathogensR01AI148419 · NIAID · UNIVERSITY OF TEXAS AT AUSTIN · PI DAVIES, BRYAN WILLIAM · 2020 to 2023
$2.8M
A High-Throughput Molecular Platform for Antimicrobial Discovery and StudyR01AI125337 · NIAID · UNIVERSITY OF TEXAS AT AUSTIN · PI DAVIES, BRYAN WILLIAM · 2016 to 2020
$2.0M
Investigation of capsule interactions that promote antimicrobial peptide activityR21AI159203 · NIAID · UNIVERSITY OF TEXAS AT AUSTIN · PI DAVIES, BRYAN WILLIAM · 2021 to 2022
$429k
CLC NIH HHS C0000008NIAID NIH HHS R01 AI125337NIAID NIH HHS R01 AI148419NIAID NIH HHS R21 AI159203
6 · The paper itself

Abstract

Antibiotic resistant bacterial infections are now a leading cause of global mortality. While drug resistance continues to spread, the clinical antibiotic pipeline has become bare. This discord has focused attention on developing new strategies for antimicrobial discovery. Natural macrocyclic peptide-based products have provided novel antibiotics and antibiotic scaffolds targeting several essential bacterial cell envelope processes, but discovery of such natural products remains a slow and inefficient process. Synthetic strategies employing peptide display technologies can quickly screen large libraries of macrocyclic sequences for specific target binding and general antibacterial potential providing alternative approaches for new antibiotic discovery. Here we review cell envelope processes that can be targeted with macrocyclic peptide therapeutics, outline important macrocyclic peptide display technologies, and discuss future strategies for both library design and screening.

Indexed as

Biological ProductsDrug DiscoveryAnti-Bacterial AgentsBacteriaPeptidesAnti-Bacterial AgentsBiological ProductsPeptidesAntimicrobial discoveryMacrocyclic peptidePeptide antibioticPeptide display

Identifiers

PMID37011732
PMCPMC10198949
OpenAlexW4362455348

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.