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Multi-Strain Human Papillomavirus (HPV) Vaccine Innovation via Computational Study: A Mini Review

Authors :
Viol Dhea Kharisma
Arif Nur Muhammad Ansori
Vikash Jakhmola
Wahyu Choirur Rizky
Muhammad Hermawan Widyananda
Rasyadan Taufiq Probojati
Ahmad Affan Ali Murtadlo
Maksim Rebezov
Pavel Scherbakov
Pavel Burkov
Yulia Matrosova
Alexander Romanov
Maic Audo Eybi Mayer Sihombing
Yulanda Antonius
Rahadian Zainul
Source :
Research Journal of Pharmacy and Technology. :3802-3807
Publication Year :
2022
Publisher :
A and V Publications, 2022.

Abstract

Human papillomavirus (HPV) is a small and non-enveloped deoxyribonucleic acid (DNA) virus that infected mucosal cells. This viral genome is composed of early and late genes. Late (L) encodes the L1 and L2 proteins. The structural protein L1 is located outside the virion. It contributes to the viral attachment mechanism; hence it becomes the target for multi-strain vaccine design. This review aims to discuss the potency of conserved L1 HPV region and the innovation of multi-strain vaccines for prevention strategies of HPV infection. Bioinformatics methods in vaccine design applied for identification of conserved sequences from databases, epitopes map, antigenicity test, prediction of similarity, and autoimmune level. The multi-strain vaccine innovation initiated in this review has more benefits compared to previous vaccines based on the level of vaccine coverage via conserved regions, potential of immune cell epitopes, antigenic properties, and possibility of autoimmune when produced. Therefore, the multi-strain HPV vaccines are predicted to be more effective than previous vaccines, including bivalent or quadrivalent. In conclusion, the strategy for expanding the prevention of HPV infection could be carried out by developing a new multi-strain-based vaccine by using conserved regions in L1 capsid from all virus strains to increase the protection.

Details

ISSN :
0974360X and 09743618
Database :
OpenAIRE
Journal :
Research Journal of Pharmacy and Technology
Accession number :
edsair.doi...........2bd5305ff7ab47d8b189b48cca4d9bc4