Evidence map›Paper›PMID 28011203›Full record

ArticleBioorganic & medicinal chemistry2017

Small molecule mimics of DFTamP1, a database designed anti-Staphylococcal peptide.

Yuxiang Dong, Tamara Lushnikova, Radha M Golla, Xiaofang Wang, Guangshun Wang

Abstract read
In one paragraph

Article in Bioorganic & medicinal chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Machine Learning Prediction of Antimicrobial Peptides.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  4. Article
  5. Article
  6. 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

5 authors.

Yuxiang DongCollege of Pharmacy, University of Nebraska Medical Center, 986125 Nebraska Medical Center, Omaha, NE 68198-6125, United States. Electronic address: ydong@unmc.edu.
Tamara LushnikovaDepartment of Pathology and Microbiology, University of Nebraska Medical Center, 986495 Nebraska Medical Center, Omaha, NE 68198-6495, United States.
Radha M GollaDepartment of Pathology and Microbiology, University of Nebraska Medical Center, 986495 Nebraska Medical Center, Omaha, NE 68198-6495, United States.
Xiaofang WangCollege of Pharmacy, University of Nebraska Medical Center, 986125 Nebraska Medical Center, Omaha, NE 68198-6125, United States.
Guangshun WangDepartment of Pathology and Microbiology, University of Nebraska Medical Center, 986495 Nebraska Medical Center, Omaha, NE 68198-6495, United States. Electronic address: gwang@unmc.edu.

Funding

Database designed novel anti-MRSA peptidesR01AI105147 · NIAID · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WANG, GUANGSHUN · 2015 to 2019
$1.9M
Database designed novel anti-MRSA peptidesR56AI105147 · NIAID · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WANG, GUANGSHUN · 2013 to 2013
$354k
NIAID NIH HHS R01 AI105147NIAID NIH HHS R56 AI105147
6 · The paper itself

Abstract

Antimicrobial peptides (AMPs) are important templates for developing new antimicrobial agents. Previously, we developed a database filtering technology that enabled us to design a potent anti-Staphylococcal peptide DFTamP1. Using this same design approach, we now report the discovery of a new class of bis-indole diimidazolines as AMP small molecule mimics. The best compound killed multiple S. aureus clinical strains in both planktonic and biofilm forms. The compound appeared to target bacterial membranes with antimicrobial activity and membrane permeation ability similar to daptomycin.

Indexed as

Drug DesignAnti-Bacterial AgentsBacteriaDose-Response Relationship, DrugMolecular StructurePeptidesSmall Molecule LibrariesStructure-Activity RelationshipAnti-Bacterial AgentsPeptidesSmall Molecule LibrariesAntimicrobial peptidesChemical synthesisDatabase filtering technologyPeptide mimics

Identifiers

PMID28011203
PMCPMC5603911

What OpenQuestion holds

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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.