Evidence map›Paper›PMID 34452050›Full record

ArticleVaccines2021

Immunoinformatics Approach to Design Multi-Epitope- Subunit Vaccine against Bovine Ephemeral Fever Disease.

Shruti Pyasi, Vinita Sharma, Kumari Dipti, Nisha Amarnath Jonniya, Debasis Nayak

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.1field-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

16 citing papers in PubMed, 32 citations in OpenAlex.

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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 3 institutions in 1 country.

Shruti PyasiDiscipline of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Indore 452020, India.ORCID 0000-0003-3757-000X
Vinita SharmaDepartment of Biochemistry, Central University of Rajasthan, Rajasthan 305817, India.
Kumari DiptiDepartment of Bioscience & Biotechnology, Banasthali Vidyapith, Rajasthan 304022, India.
Nisha Amarnath JonniyaDiscipline of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Indore 452020, India.ORCID 0000-0001-8022-3113
Debasis NayakDiscipline of Biosciences and Biomedical Engineering, Indian Institute of Technology Indore, Indore 452020, India.ORCID 0000-0002-4762-4553
Indian Institute of Technology Indore · INBanasthali University · INCentral University of Rajasthan · IN

Funding

Science and Engineering Research Board ECR/2016/000130
6 · The paper itself

Abstract

Bovine ephemeral fever virus (BEFV) is an overlooked pathogen, recently gaining widespread attention owing to its associated enormous economic impacts affecting the global livestock industries. High endemicity with rapid spread and morbidity greatly impacts bovine species, demanding adequate attention towards BEFV prophylaxis. Currently, a few suboptimum vaccines are prevailing, but were confined to local strains with limited protection. Therefore, we designed a highly efficacious multi-epitope vaccine candidate targeted against the geographically distributed BEFV population. By utilizing immunoinformatics technology, all structural proteins were targeted for B- and T-cell epitope prediction against the entire allele population of BoLA molecules. Prioritized epitopes were adjoined by linkers and adjuvants to effectively induce both cellular and humoral immune responses in bovine. Subsequently, the in silico construct was characterized for its physicochemical parameters, high immunogenicity, least allergenicity, and non-toxicity. The 3D modeling, refinement, and validation of ligand (vaccine construct) and receptor (bovine TLR7) then followed molecular docking and molecular dynamic simulation to validate their stable interactions. Moreover, in silico cloning of codon-optimized vaccine construct in the prokaryotic expression vector (pET28a) was explored. This is the first time HTL epitopes have been predicted using bovine datasets. We anticipate that the designed construct could be an effective prophylactic remedy for the BEF disease that may pave the way for future laboratory experiments.

Indexed as

BEFVBoLAImmunoinformaticsmulti-epitopes vaccineToll-like receptor 7

Identifiers

PMID34452050
PMCPMC8402647
OpenAlexW3194129550

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.