Evidence map›Paper›PMID 35379433›Full record

ArticleMethods in enzymology2022

Phenotypic screening of compound libraries as a platform for the identification of antibiotic adjuvants: Identification of colistin adjuvants from a natural product library.

Roberta J Melander, Anne E Mattingly, Christian Melander

Open access · greenAbstract read
In one paragraph

Article in Methods in enzymology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. ScreeningOpen research Europe · 2025
    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.

Roberta J MelanderDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, United States.
Anne E MattinglyDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, United States.
Christian MelanderDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, United States. Electronic address: cmelande@nd.edu.
University of Notre Dame · US

Funding

Colistin-resistant Acinetobacter baumanniiR01AI104895 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DOI, YOHEI, ERNST, ROBERT K · 2014 to 2024
$4.2M
Development of Antibiotic Adjuvants for Gram-Negative BacteriaR01AI136904 · NIAID · UNIVERSITY OF NOTRE DAME · PI MELANDER, CHRISTIAN COREY · 2018 to 2022
$3.7M
NIAID NIH HHS R01 AI104895NIAID NIH HHS R01 AI136904
6 · The paper itself

Abstract

The identification of antibiotic adjuvants, small molecules that potentiate the activity of conventional antibiotics, provides an orthogonal approach to the development of new antibiotics in the fight against drug resistant bacterial infections. Methods to identify novel adjuvants could potentially aid efforts to overcome the increasing prevalence of resistance and stave off the onset of a "post-antibiotic era." Phenotypic whole cell screens allow for the identification of hits with the necessary properties to access their biomolecular target, and may also facilitate the discovery of novel adjuvant targets. A phenotypic screening platform is outlined, in which a natural product library was explored for activity with antibiotics from several mechanistically distinct classes against clinically important bacterial species. General approaches to delineating the mechanism of action of hit compounds identified from phenotypic screens are described, followed by specific approaches to uncovering the mechanism of action of the colistin adjuvants identified from the natural product screen.

Indexed as

Biological ProductsColistinAdjuvants, PharmaceuticAnti-Bacterial AgentsSmall Molecule LibrariesAdjuvants, PharmaceuticAnti-Bacterial AgentsBiological ProductsColistinSmall Molecule LibrariesAntibiotic adjuvantColistinMulti-drug resistanceNatural productPhenotypic screen

Identifiers

PMID35379433
PMCPMC10942738
OpenAlexW4226256334

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.