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ORIGINAL RESEARCH article

Front. Immunol.

Sec. Vaccines and Molecular Therapeutics

Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1442101

This article is part of the Research Topic Broad Spectrum Viral Vaccines View all 4 articles

Development of a Multi-Epitope Vaccine Candidate to Combat SARS-CoV-2 and Dengue Virus Co-Infection through an Immunoinformatics Approach

Provisionally accepted
Saurav Mandal Saurav Mandal 1,2*Waribam Pratibha Chanu Waribam Pratibha Chanu 3*Kalimuthusamy Natarajaseenivasan Kalimuthusamy Natarajaseenivasan 1,2*
  • 1 Indian Council of Medical Research (ICMR), New Delhi, National Capital Territory of Delhi, India
  • 2 Regional Medical Research Center, Dibrugarh, India
  • 3 Gautam Buddha University, Greater Noida, India

The final, formatted version of the article will be published soon.

    We are pleased to submit the revised manuscript entitled "Development of a Multi-Epitope Vaccine Candidate to Combat SARS-CoV-2 and Dengue Virus Co-Infection through an Immunoinformatics Approach." We sincerely apologize for the delay in responding to the reviewer comments and submitting the revised version. We greatly appreciate your patience and understanding throughout this process.We have carefully addressed all the review questions raised by the reviewers. The changes and updates are highlighted in blue in the revised manuscript for clarity. Additionally, we have elaborated on the concerns raised regarding structural predictions, physicochemical properties, and immune simulation comparisons, as well as incorporated literature on SARS-CoV-2 and dengue co-infection. We believe these revisions significantly strengthen the manuscript and address all the concerns comprehensively.In this study, we utilized four antigens from SARS-CoV-2 and the dengue virus to design a multi-epitope vaccine candidate. Our findings suggest that this vaccine has promising potential in combating co-infection by these two viruses, which is particularly critical in regions where these infections overlap. The results of our immunoinformatics approach highlight its utility in advancing multiepitope vaccine design.We believe that this manuscript aligns with the scope of Frontiers in Immunology as it contributes to the rapidly growing field of computational vaccine design and immunology. We hope it will inspire new research and provide meaningful insights for the development of innovative solutions against co-infections.We sincerely thank you and the reviewers for the constructive feedback, which has been invaluable in improving the quality of the manuscript. We look forward to your positive response and would be delighted to address any additional concerns if needed.Thank you for your time and consideration.

    Keywords: SARS-CoV-2, Dengue, Multi-epitope vaccine, immunoinformatics, IEDB

    Received: 01 Jun 2024; Accepted: 05 Feb 2025.

    Copyright: © 2025 Mandal, Chanu and Natarajaseenivasan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Saurav Mandal, Indian Council of Medical Research (ICMR), New Delhi, National Capital Territory of Delhi, India
    Waribam Pratibha Chanu, Gautam Buddha University, Greater Noida, India
    Kalimuthusamy Natarajaseenivasan, Indian Council of Medical Research (ICMR), New Delhi, National Capital Territory of Delhi, India

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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