Evidence map›Paper›PMID 39415947›Full record

ArticleFrontiers in veterinary science2024

Machine learning tools used for mapping some immunogenic epitopes within the major structural proteins of the bovine coronavirus (BCoV) and for the

Nithyadevi Duraisamy, Mohd Yasir Khan, Abid Ullah Shah, Reda Nacif Elalaoui, Mohammed Cherkaoui, Maged Gomaa Hemida

Abstract read
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Article in Frontiers in veterinary science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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

11 citing papers in PubMed.

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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

6 authors.

Nithyadevi DuraisamyCollege of Science, School of Engineering, Department of Digital Engineering, Computer Science, and Artificial Intelligence, Long Island University, Brooklyn, NY, United States.
Mohd Yasir KhanCollege of Science, School of Engineering, Department of Digital Engineering, Computer Science, and Artificial Intelligence, Long Island University, Brooklyn, NY, United States.
Abid Ullah ShahDepartment of Veterinary Biomedical Sciences, College of Veterinary Medicine, Long Island University, Brookville, NY, United States.
Reda Nacif ElalaouiCollege of Science, School of Engineering, Department of Digital Engineering, Computer Science, and Artificial Intelligence, Long Island University, Brooklyn, NY, United States.
Mohammed CherkaouiCollege of Science, School of Engineering, Department of Digital Engineering, Computer Science, and Artificial Intelligence, Long Island University, Brooklyn, NY, United States.
Maged Gomaa HemidaDepartment of Veterinary Biomedical Sciences, College of Veterinary Medicine, Long Island University, Brookville, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: BCoV is one of the significant causes of enteritis in young calves; it may also be responsible for many respiratory outbreaks in young calves. BCoV participates in the development of bovine respiratory disease complex in association with other bacterial pathogens. Our study aimed (1) to map the immunogenic epitopes (B and T cells) within the major BCoV structural proteins. These epitopes are believed to induce a robust immune response through the interaction with major histocompatibility complex (MHC class II) molecules (2) to design some novel BCoV multiepitope-based vaccines. Materials and Methods: The goal is achieved through several integrated Results and discussion: The average range of major BCoV structural proteins was detected within the range of 0.4 to 0.5, which confirmed their antigen and allergic properties. The binding energy values were detected between -7.9 and -9.4 eV and also confirmed their best interaction between our vaccine construct and Toll-like receptors. Our Conclusion: Our designed multiepitope vaccine candidates per each BCoV structural protein showed high antigenicity, immunogenicity, non-allergic, non-toxic, and high-water solubility. Further studies are highly encouraged to validate the efficacy of these novel BCoV vaccines in the natural host.

Indexed as

B cell and T cell multiepitopeBCoVepitope mappingIn-silico cloningMHC class II moleculesMolecular dockingToll like receptors

Identifiers

PMID39415947
PMCPMC11479863

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.