Evidence map›Paper›PMID 35355819›Full record

ArticleBioMed research international2022

Investigation of Plant Antimicrobial Peptides against Selected Pathogenic Bacterial Species Using a Peptide-Protein Docking Approach.

Ghulam Mustafa, Rizwan Mehmood, Hafiza Salaha Mahrosh, Khalid Mehmood, Shakeel Ahmed

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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  13. BioMed research international · 2023
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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

5 authors at 4 institutions in 3 countries.

Ghulam MustafaDepartment of Biochemistry, Government College University Faisalabad, Faisalabad-38000, Pakistan.ORCID https://orcid.org/0000-0001-6510-6496
Rizwan MehmoodDepartment of Biochemistry, Government College University Faisalabad, Faisalabad-38000, Pakistan.
Hafiza Salaha MahroshDepartment of Biochemistry, University of Agriculture Faisalabad, Faisalabad-38000, Pakistan.ORCID https://orcid.org/0000-0002-6664-1543
Khalid MehmoodFaculty of Veterinary and Animal Sciences, The Islamia University of Bahawalpur, Bahawalpur-63100, Pakistan.ORCID https://orcid.org/0000-0003-4720-8792
Shakeel AhmedInstituto de Farmacia, Universidad Austral de Chile, Isla Teja Campus, Valdivia (5090000), Chile.
Government College University, Faisalabad · PKAustral University of Chile · CLIslamia University of Bahawalpur · PKUniversity of Faisalabad · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance is the key threat to global health due to high morbidity and mortality. The alteration of bacterial proteins, enzymatic degradation, and change of membrane permeability towards antimicrobial agents are the key mechanisms of antimicrobial resistance. Based on the current condition, there is an urgent clinical need to develop new drugs to treat these bacterial infections. In the current study, the binding patterns of selected antimicrobial peptides (AMPs) with different multidrug-resistant bacterial strains have been analyzed. Among ten selected AMPs in this study, napin and snakin-1 exhibited the best scores and binding patterns. Napin exhibited strong interactions with penicillin-binding protein 1a of

Indexed as

Acinetobacter baumanniiMethicillin-Resistant Staphylococcus aureusMycobacterium tuberculosisAnti-Bacterial AgentsAntimicrobial PeptidesDrug Resistance, Multiple, BacterialMicrobial Sensitivity TestsAnti-Bacterial AgentsAntimicrobial Peptides

Identifiers

PMID35355819
PMCPMC8960006
OpenAlexW4226399971

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.