Evidence map›Paper›PMID 39042625›Full record

ArticlePloS one2024

In silico design of multi-epitope vaccines against the hantaviruses by integrated structural vaccinology and molecular modeling approaches.

Liaqat Ali, Sobiah Rauf, Abbas Khan, Samreen Rasool, Rabail Zehra Raza, Fahad M Alshabrmi, Taimoor Khan, Muhammad Suleman, Yasir Waheed, Anwar Mohammad and 1 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 citing papers in PubMed.

  1. Proteome conserved multi-epitope-based vaccine construct against Nipah virus.Naunyn-Schmiedeberg's archives of pharmacology · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Review
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

11 authors.

Liaqat AliDepartment of Biological Sciences, National University of Medical Sciences (NUMS), Rawalpindi, Pakistan.
Sobiah RaufDepartment of Biological Sciences, National University of Medical Sciences (NUMS), Rawalpindi, Pakistan.ORCID 0000-0002-5232-3253
Abbas KhanDepartment of Pharmaceutical Sciences, College of Pharmacy, QU Health, Qatar University, Doha, Qatar.ORCID 0009-0008-9754-9097
Samreen RasoolDepartment of Biochemistry, Government College University, Lahore, Pakistan.
Rabail Zehra RazaDepartment of Biological Sciences, National University of Medical Sciences (NUMS), Rawalpindi, Pakistan.ORCID 0000-0001-5232-0127
Fahad M AlshabrmiDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia.
Taimoor KhanDepartment of Radiation Oncology, University of California, San Francisco, United States of America.
Muhammad SulemanCentre for Biotechnology and Microbiology, University of Swat, Charbagh, Swat, Khyber Pakhtunkhwa, Pakistan.
Yasir WaheedGilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Byblos, Lebanon.ORCID 0000-0002-5789-4215
Anwar MohammadDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman, Kuwait.
Abdelali AgouniDepartment of Pharmaceutical Sciences, College of Pharmacy, QU Health, Qatar University, Doha, Qatar.ORCID 0000-0002-8363-1582

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hantaviruses are single-stranded RNA viruses belonging to the family Bunyaviridae that causes hantavirus cardiopulmonary syndrome (HCPS) and hemorrhagic fever with renal syndrome (HFRS) worldwide. Currently, there is no effective vaccination or therapy available for the treatment of hantavirus, hence there is a dire need for research to formulate therapeutics for the disease. Computational vaccine designing is currently a highly accurate, time and cost-effective approach for designing effective vaccines against different diseases. In the current study, we shortlisted highly antigenic proteins i.e., envelope, and nucleoprotein from the proteome of hantavirus and subjected to the selection of highly antigenic epitopes to design of next-generation multi-epitope vaccine constructs. A highly antigenic and stable adjuvant was attached to the immune epitopes (T-cell, B-cell, and HTL) to design Env-Vac, NP-Vac, and Com-Vac constructs, which exhibit stronger antigenic, non-allergenic, and favorable physiochemical properties. Moreover, the 3D structures were predicted and docking analysis revealed robust interactions with the human Toll-like receptor 3 (TLR3) to initiate the immune cascade. The total free energy calculated for Env-Vac, NP-Vac, and Com-Vac was -50.02 kcal/mol, -24.13 kcal/mol, and -62.30 kcal/mol, respectively. In silico cloning, results demonstrated a CAI value for the Env-Vac, NP-Vac, and Com-Vac of 0.957, 0.954, and 0.956, respectively, while their corresponding GC contents were 65.1%, 64.0%, and 63.6%. In addition, the immune simulation results from three doses of shots released significant levels of IgG, IgM, interleukins, and cytokines, as well as antigen clearance over time, after receiving the vaccine and two booster doses. Our vaccines against Hantavirus were found to be highly immunogenic, inducing a robust immune response that demands experimental validation for clinical usage.

Indexed as

OrthohantavirusViral VaccinesComputer SimulationEpitopesHantavirus InfectionsHumansModels, MolecularMolecular Docking SimulationVaccinologyEpitopesViral Vaccines

Identifiers

PMID39042625
PMCPMC11265663

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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.