Evidence map›Paper›PMID 31771826›Full record

ArticleEuropean journal of medicinal chemistry2020

Antibacterial activity of lipo-α/sulfono-γ-AA hybrid peptides.

Lulu Wei, Minghui Wang, Ruixuan Gao, Rojin Fatirkhorani, Jianfeng Cai

Abstract read
In one paragraph

Article in European journal of medicinal chemistry, 2020. 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. Article
  3. Review
  4. Article
  5. Article
  6. 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.

Lulu WeiDepartment of Chemistry, University of South Florida, 4202 E. Fowler Ave, Tampa, FL, 33620, USA.
Minghui WangDepartment of Chemistry, University of South Florida, 4202 E. Fowler Ave, Tampa, FL, 33620, USA.
Ruixuan GaoDepartment of Chemistry, University of South Florida, 4202 E. Fowler Ave, Tampa, FL, 33620, USA.
Rojin FatirkhoraniDepartment of Chemistry, University of South Florida, 4202 E. Fowler Ave, Tampa, FL, 33620, USA.
Jianfeng CaiDepartment of Chemistry, University of South Florida, 4202 E. Fowler Ave, Tampa, FL, 33620, USA. Electronic address: jianfengcai@usf.edu.

Funding

Requesting HPLC for the project of "Alpha-AApeptides as a Novel Class of Antimicrobial Biomaterials"R01GM112652 · NIGMS · UNIVERSITY OF SOUTH FLORIDA · PI CAI, JIANFENG · 2015 to 2019
$1.5M
NIGMS NIH HHS R01 GM112652
6 · The paper itself

Abstract

Development of novel antimicrobial agents combating drug resistance is in an urgent need. Herein we report the design and synthesis of a series of short lipo-α/sulfono-γ-AA hybrid peptides. Several short peptides exhibit potent and broad-spectrum antimicrobial activity toward both Gram-positive and Gram-negative bacteria. Membrane depolarization and fluorescence microscopy studies indicate that these short lipo-α/sulfono-γ-AA hybrid peptides can mimic the mechanisms of HDPs to kill bacteria by disrupting bacterial membranes. In addition, these short peptides also show capability to eradicate the biofilm formation of E. coli even at very low concentration. The further development of lipidated α/sulofono-γ-AA hybrid peptides may lead to a new class of antibiotic agents to combat drug resistance.

Indexed as

Amino AcidsAnti-Bacterial AgentsBiofilmsDose-Response Relationship, DrugGram-Negative BacteriaGram-Positive BacteriaMicrobial Sensitivity TestsMolecular StructurePeptidesPeptidomimeticsStructure-Activity RelationshipAmino AcidsAnti-Bacterial AgentsPeptidesPeptidomimeticsAA peptidesAntimicrobialBacterial resistancePeptidomimeticsSolid-phase synthesis

Identifiers

PMID31771826
PMCPMC6939128

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.