Evidence map›Paper›PMID 38236024›Full record

ArticleMicrobiology spectrum2024

Novel antimicrobial peptides identified in legume plant,

Areej A Alhhazmi, Sarah S Alluhibi, Rahaf Alhujaily, Maymona E Alenazi, Taif L Aljohani, Al-Anoud T Al-Jazzar, Ahaad D Aljabri, Razan Albaqami, Dalal Almutairi, Lujain K Alhelali and 4 more

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.8field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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  5. Machine learning for predictingBioinformation · 2025
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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

14 authors at 2 institutions in 1 country.

Areej A AlhhazmiMedical Laboratories Technology Department, College of Applied Medical Sciences, Taibah University, Medina, Saudi Arabia.ORCID 0000-0003-4334-7269
Sarah S AlluhibiMedical Laboratories Technology Department, College of Applied Medical Sciences, Taibah University, Medina, Saudi Arabia.
Rahaf AlhujailyMedical Laboratories Technology Department, College of Applied Medical Sciences, Taibah University, Medina, Saudi Arabia.
Maymona E AlenaziMedical Laboratories Technology Department, College of Applied Medical Sciences, Taibah University, Medina, Saudi Arabia.
Taif L AljohaniMedical Laboratories Technology Department, College of Applied Medical Sciences, Taibah University, Medina, Saudi Arabia.
Al-Anoud T Al-JazzarMedical Laboratories Technology Department, College of Applied Medical Sciences, Taibah University, Medina, Saudi Arabia.
Ahaad D AljabriMedical Laboratories Technology Department, College of Applied Medical Sciences, Taibah University, Medina, Saudi Arabia.
Razan AlbaqamiMedical Laboratories Technology Department, College of Applied Medical Sciences, Taibah University, Medina, Saudi Arabia.
Dalal AlmutairiMedical Laboratories Technology Department, College of Applied Medical Sciences, Taibah University, Medina, Saudi Arabia.
Lujain K AlhelaliMedical Laboratories Technology Department, College of Applied Medical Sciences, Taibah University, Medina, Saudi Arabia.
Hibah M AlbasriDepartment of Biology, College of Science, Taibah University, Medina, Saudi Arabia.
Yahya A AlmutawifMedical Laboratories Technology Department, College of Applied Medical Sciences, Taibah University, Medina, Saudi Arabia.
Mohammad A AlturkostaniMedical Microbiology Section, King Fahad Hospital, Medina, Saudi Arabia.
Abullah Z AlmutairiMedical Microbiology Section, King Fahad Hospital, Medina, Saudi Arabia.
Taibah University · SAKing Fahad Hospital Jeddah · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the major issues in healthcare today is antibiotic resistance. Antimicrobial peptides (AMPs), a subclass of host defense peptides, have been suggested as a viable solution for the multidrug resistance problem. Legume plants express more than 700 nodule-specific cysteine-rich (NCR) peptides. Three NCR peptides (NCR094, NCR888, and NCR992) were predicted to have antimicrobial activity using

Indexed as

Anti-Infective AgentsMedicago truncatulaMethicillin-Resistant Staphylococcus aureusAnti-Bacterial AgentsAntimicrobial Cationic PeptidesAntimicrobial PeptidesCysteineDefensinsHumansKlebsiella pneumoniaeMicrobial Sensitivity TestsVegetablesAnti-Bacterial AgentsAnti-Infective AgentsAntimicrobial Cationic PeptidesAntimicrobial PeptidesCysteineDefensinsantibioticsantimicrobial activityantimicrobial peptideGram-negative bacteriahemolysisMedicago truncatulanodule-specific cysteine-rich peptidetoxicity

Identifiers

PMID38236024
PMCPMC10845954
OpenAlexW4390973650

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.