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Reverse engineering protection: A comprehensive survey of reverse vaccinology-based vaccines targeting viral pathogens
Hospitay Vinayaka Missions Res Fdn Deemed Univ, Aarupadai Veedu Med Coll & Hosp, Dept Med Biotechnol, Kirumampakkam 607402, Puducherry, India..
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Chemistry, Glycoscience.ORCID iD: 0000-0002-3322-8621
Sri Balaji Vidyapeeth Deemed Univ, Mahatma Gandhi Med Adv Res Inst, Pondicherry 607402, India..
Univ Fed Ceara, Med Mycol Specialized Ctr, Dept Pathol & Legal Med, Fortaleza, CE, Brazil..
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2024 (English)In: Vaccine, ISSN 0264-410X, E-ISSN 1873-2518, Vol. 42, no 10, p. 2503-2518Article, review/survey (Refereed) Published
Abstract [en]

Vaccines have significantly reduced the impact of numerous deadly viral infections. However, there is an increasing need to expedite vaccine development in light of the recurrent pandemics and epidemics. Also, identifying vaccines against certain viruses is challenging due to various factors, notably the inability to culture certain viruses in cell cultures and the wide-ranging diversity of MHC profiles in humans. Fortunately, reverse vaccinology (RV) efficiently overcomes these limitations and has simplified the identification of epitopes from antigenic proteins across the entire proteome, streamlining the vaccine development process. Furthermore, it enables the creation of multiepitope vaccines that can effectively account for the variations in MHC profiles within the human population. The RV approach offers numerous advantages in developing precise and effective vaccines against viral pathogens, including extensive proteome coverage, accurate epitope identification, crossprotection capabilities, and MHC compatibility. With the introduction of RV, there is a growing emphasis among researchers on creating multiepitope-based vaccines aiming to stimulate the host's immune responses against multiple serotypes, as opposed to single-component monovalent alternatives. Regardless of how promising the RV-based vaccine candidates may appear, they must undergo experimental validation to probe their protection efficacy for real-world applications. The time, effort, and resources allocated to the laborious epitope identification process can now be redirected toward validating vaccine candidates identified through the RV approach. However, to overcome failures in the RV-based approach, efforts must be made to incorporate immunological principles and consider targeting the epitope regions involved in disease pathogenesis, immune responses, and neutralizing antibody maturation. Integrating multi-omics and incorporating artificial intelligence and machine learning-based tools and techniques in RV would increase the chances of developing an effective vaccine. This review thoroughly explains the RV approach, ideal RV-based vaccine construct components, RV-based vaccines designed to combat viral pathogens, its challenges, and future perspectives.

Place, publisher, year, edition, pages
Elsevier BV , 2024. Vol. 42, no 10, p. 2503-2518
Keywords [en]
Reverse vaccinology, Antigenic protein, Epitope prediction, Vaccine design, Peptide vaccine, mRNA vaccine, Pathogen, Virus
National Category
Biological Sciences
Identifiers
URN: urn:nbn:se:kth:diva-347198DOI: 10.1016/j.vaccine.2024.02.087ISI: 001225527000001PubMedID: 38523003Scopus ID: 2-s2.0-85188809257OAI: oai:DiVA.org:kth-347198DiVA, id: diva2:1864884
Note

QC 20240604

Available from: 2024-06-04 Created: 2024-06-04 Last updated: 2024-06-04Bibliographically approved

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Kumar, Rajender

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