Evidence map›Paper›PMID 38278861›Full record

ArticleScientific reports2024

Immunoinformatics approaches in developing a novel multi-epitope chimeric vaccine protective against Saprolegnia parasitica.

Abhigyan Choudhury, Pawan Kumar, Hiba-Allah Nafidi, Khalid S Almaary, Gezahign Fentahun Wondmie, Ajit Kumar, Mohammed Bourhia

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.8field-weighted citation impact, top 10% 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, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 6 institutions in 5 countries.

Abhigyan ChoudhuryIndependent Researcher, Asansol, West Bengal, 713 305, India. abhigyan6531@gmail.com.
Pawan KumarToxicology and Computational Biology Group, Centre for Bioinformatics, Maharshi Dayanand University, Rohtak, 124 001, India.
Hiba-Allah NafidiDepartment of Food Science, Faculty of Agricultural and Food Sciences, Laval University, Quebec City, QC, 2325G1V 0A6, Canada.
Khalid S AlmaaryDepartment of Botany and Microbiology, College of Science, King Saud University, P. O. Box 2455, 114 51, Riyadh, Saudi Arabia.
Gezahign Fentahun WondmieDepartment of Biology, Bahir Dar University, Po.Box 79, Bahir Dar, Ethiopia. resercherfent@gmail.com.
Ajit KumarToxicology and Computational Biology Group, Centre for Bioinformatics, Maharshi Dayanand University, Rohtak, 124 001, India. akumar.cbt.mdu@gmail.com.
Mohammed BourhiaDepartment of Chemistry and Biochemistry, Faculty of Medicine and Pharmacy, Ibn Zohr University, 700 00, Laayoune, Morocco.
Maharshi Dayanand University · INBahir Dar University · ETKazi Nazrul University · INKing Saud University · SAUniversité Ibn Zohr · MAUniversité Laval · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Saprolegnia parasitica is responsible for devastating infections in fish and poses a tremendous threat to the global aquaculture industry. Presently, no safe and effective control measures are available, on the contrary, use of banned toxic compounds against the pathogen is affecting humans via biomagnification routes. This pioneering study aims to design an effective multi-epitope multi-target vaccine candidate against S. parasitica by targeting key proteins involved in the infection process. The proteins were analyzed and linear B-cell epitopes, MHC class I, and class II epitopes were predicted. Subsequently, highly antigenic epitopes were selected and fused to a highly immunogenic adjuvant, 50S ribosomal protein L7/L12, to design a multi-epitope chimeric vaccine construct. The structure of the vaccine was generated and validated for its stereochemical quality, physicochemical properties, antigenicity, allergenicity, and virulence traits. Molecular docking analyses demonstrated strong binding interactions between the vaccine and piscine immune receptors (TLR5, MHC I, MHC II). Molecular dynamics simulations and binding energy calculations of the complexes, further, reflected the stability and favorable interactions of the vaccine and predicted its cytosolic stability. Immune simulations predicted robust and consistent kinetics of the immune response elicited by the vaccine. The study posits the vaccine as a promising solution to combat saprolegniasis in the aquaculture industry.

Indexed as

SaprolegniaVaccinesAnimalsComputational BiologyEpitopes, B-LymphocyteEpitopes, T-LymphocyteHumansImmunoinformaticsMolecular Docking SimulationVaccines, SubunitEpitopes, B-LymphocyteEpitopes, T-LymphocyteVaccinesVaccines, Subunit

Identifiers

PMID38278861
PMCPMC10817918
OpenAlexW4391269831

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.