Evidence map›Paper›PMID 41113170›Full record

ArticleIn silico pharmacology2025

Designing a novel mRNA vaccine against foot-and-mouth disease using immunoinformatics approach.

Samarendra Das, Manaswini Jagadeb, Jitendra Kumar Biswal

Abstract read
In one paragraph

Article in In silico pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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

3 authors.

Samarendra Das *ICAR-National Institute on Foot and Mouth Disease, International Centre for Foot and Mouth Disease, Arugul, Bhubaneswar, 752050 Odisha India.
Manaswini Jagadeb *ICAR-National Institute on Foot and Mouth Disease, International Centre for Foot and Mouth Disease, Arugul, Bhubaneswar, 752050 Odisha India.
Jitendra Kumar BiswalICAR-National Institute on Foot and Mouth Disease, International Centre for Foot and Mouth Disease, Arugul, Bhubaneswar, 752050 Odisha India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Foot-and-mouth disease (FMD) is a highly contagious disease of cloven-footed animals and has primarily been controlled through vaccination. The main disadvantages of the currently used whole virus-based inactivated vaccines are lack of immunological memory and requirement of strict bio-containment facility for upscaling the virus. In order to lower the burden of FMD, development of novel and potent vaccines is of paramount importance. Thus, this study resorted to immunoinformatics to design a multi-epitope- based mRNA vaccine that would protect against the FMD virus serotypes O, A, and Asia1. Several immunoinformatics tools were utilized to predict T and B-cell epitopes present on the capsid protein of FMD virus. These predicted epitopes were passed through a computational approach comprised of antigenicity, toxicity, allergenicity, and other biochemical properties-based prediction and analyses. Further, molecular docking and simulation among the predicted epitopes and MHC molecules was carried out to identify the key epitopes and MHC molecules. The structural analysis of antigenic epitopes and MHC alleles revealed their structures and binding sites. The seven predicted epitopes, a highly immunogenic adjuvant, secretion booster, and appropriate linkers, namely GPGPG and EAAAK, were combined to design the mRNA vaccine. The physicochemical analytical findings indicated that the vaccine construct found to be antigenic, almost neutral at physiological pH, non-toxic, non-allergenic, stable, and capable of generating a robust immune response. The findings of this comprehensive study demonstrated that this vaccine construct could pave the way for successfully combating infections caused by the economically important FMD virus. Supplementary Information: The online version contains supplementary material available at 10.1007/s40203-025-00444-z.

Indexed as

BovineFMD virusImmunoinformaticsIn-silicomRNA vaccineMulti-epitope

Identifiers

PMID41113170
PMCPMC12534616

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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 OpenQuestion graph.