Evidence map›Paper›PMID 37098917›Full record

ArticleMicrobiology spectrum2023

Targeted Killing of Staphylococcus aureus Using Specific Peptides Displayed on Yeast Vacuoles.

Jaewoong Lee, Ngoc-Tu Nguyen, Le-Minh Tran, Yang-Hoon Kim, Jiho Min

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Jaewoong Lee *School of Chemical Engineering, Jeonbuk National University, Deokjin-Gu Jeonju, Jeonbuk, South Korea.
Ngoc-Tu Nguyen *School of Chemical Engineering, Jeonbuk National University, Deokjin-Gu Jeonju, Jeonbuk, South Korea.
Le-Minh TranSchool of Chemical Engineering, Jeonbuk National University, Deokjin-Gu Jeonju, Jeonbuk, South Korea.
Yang-Hoon KimCenter for Ecology and Environmental Toxicology (CEET), Chungbuk National University, Seowon-Gu, Cheongju, South Korea.
Jiho MinSchool of Chemical Engineering, Jeonbuk National University, Deokjin-Gu Jeonju, Jeonbuk, South Korea.ORCID 0000-0001-6025-7746
Chungbuk National University · KRJeonbuk National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Staphylococcus aureus is a common pathogen that causes health care-related and community-associated infections. In this study, we provide a novel system that can recognize and kill S. aureus bacteria. The system is specifically based on a combination of the phage display library technique and yeast vacuoles. A phage clone displaying a peptide capable of specific binding to a whole S. aureus cell was selected from a 12-mer phage peptide library. The peptide sequence was SVPLNSWSIFPR. The selected phage's ability to bind specifically with S. aureus was confirmed using an enzyme-linked immunosorbent assay, and the chosen peptide was then synthesized. The results showed that the synthesized peptides displayed high affinity with S. aureus but low binding ability with other strains, including Gram-negative and Gram-positive bacteria such as Salmonella sp.,

Indexed as

DaptomycinStaphylococcal InfectionsAnti-Bacterial AgentsHumansPeptidesSaccharomyces cerevisiaeStaphylococcus aureusVacuolesAnti-Bacterial AgentsDaptomycinPeptidesdrug carrierpathogen detectionpeptide conjugationphage displayStaphylococcus aureusyeast vacuoles

Identifiers

PMID37098917
PMCPMC10269669
OpenAlexW4367048302

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.