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Rational design of a multivalent vaccine targeting arthropod-borne viruses using reverse vaccinology strategies.
Dhanushkumar, T; Selvam, Prasanna Kumar; M E, Santhosh; Vasudevan, Karthick; C, George Priya Doss; Zayed, Hatem; Kamaraj, Balu.
Affiliation
  • Dhanushkumar T; Department of Biotechnology, School of Applied Sciences, REVA University, Bengaluru 560064, India.
  • Selvam PK; Department of Biotechnology, School of Applied Sciences, REVA University, Bengaluru 560064, India.
  • M E S; Department of Biotechnology, School of Applied Sciences, REVA University, Bengaluru 560064, India.
  • Vasudevan K; Department of Biotechnology, School of Applied Sciences, REVA University, Bengaluru 560064, India. Electronic address: karthick.vasudevan@reva.edu.in.
  • C GPD; Laboratory of Integrative Genomics, Department of Integrative Biology, School of BioSciences and Technology, Vellore Institute of Technology (VIT), Vellore, India. Electronic address: georgepriyadoss@vit.ac.in.
  • Zayed H; Department of Biomedical Sciences College of Health Sciences, QU Health, Qatar University, Doha, Qatar.
  • Kamaraj B; Department of Dental Education, College of Dentistry, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Int J Biol Macromol ; 258(Pt 1): 128753, 2024 Feb.
Article in En | MEDLINE | ID: mdl-38104690
ABSTRACT
Viruses transmitted by arthropods, such as Dengue, Zika, and Chikungunya, represent substantial worldwide health threats, particularly in countries like India. The lack of approved vaccines and effective antiviral therapies calls for developing innovative strategies to tackle these arboviruses. In this study, we employed immunoinformatics methodologies, incorporating reverse vaccinology, to design a multivalent vaccine targeting the predominant arboviruses. Epitopes of B and T cells were recognized within the non-structural proteins of Dengue, Zika, and Chikungunya viruses. The predicted epitopes were enhanced with adjuvants ß-defensin and RS-09 to boost the vaccine's immunogenicity. Sixteen distinct vaccine candidates were constructed, each incorporating epitopes from all three viruses. FUVAC-11 emerged as the most promising vaccine candidate through molecular docking and molecular dynamics simulations, demonstrating favorable binding interactions and stability. Its effectiveness was further evaluated using computational immunological studies confirming strong immune responses. The in silico cloning performed using the pET-28a(+) plasmid facilitates the future experimental implementation of this vaccine candidate, paving the way for potential advancements in combating these significant arboviral threats. However, further in vitro and in vivo studies are warranted to confirm the results obtained in this computational study, which highlights the effectiveness of immunoinformatics and reverse vaccinology in creating vaccines against major Arboviruses, offering a promising model for developing vaccines for other vector-borne diseases and enhancing global health security.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Arboviruses / Vaccines / Dengue / Chikungunya Fever / Zika Virus / Zika Virus Infection Limits: Humans Language: En Journal: Int J Biol Macromol Year: 2024 Document type: Article Affiliation country: India

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Arboviruses / Vaccines / Dengue / Chikungunya Fever / Zika Virus / Zika Virus Infection Limits: Humans Language: En Journal: Int J Biol Macromol Year: 2024 Document type: Article Affiliation country: India