EC Microbiology

Editorial Volume 20 Issue 10 - 2024

Computational Designs for Vaccines against SARS-CoV-2 Variants

Attapon Cheepsattayakorn1,2,3,4*, Ruangrong Cheepsattayakorn5 and Porntep Siriwanarangsun1

1Faculty of Medicine, Western University, Pathumtani Province, Thailand

2Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok, Thailand

310th Zonal Tuberculosis and Chest Disease Center, Chiang Mai, Thailand

4Department of Disease Control, Ministry of Public Health, Thailand

5Department of Pathology, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand

*Corresponding Author: Attapon Cheepsattayakorn, 10th Zonal Tuberculosis and Chest Disease Center, Chiang Mai, Thailand.
Received: October 09, 2024; Published: October 11, 2024



All vaccines, such as mRNA-1273 (Moderna), BNT162b2 (Pfizer/BioNTech), and Ad.26.COV2.S (Janssen) are based on the sequence of the original Wuhan-Hu-1 strain of the spike fusion glycoprotein (S) and are engineered to remain in the prefusion state, which is the primary target of neutralizing antibodies (nAbs) [1]. However, the efficacies of these first-generation vaccines are diminished against newly circulating variants of concern (VoCs) such as Alpha (B.1.1.7), Beta (B.1.351), Delta (B.1.617.2), and Omicron (BA.1, BA.2, BA.4/5, XBB, and BQ.1.1), which evade nAbs due to mutations in the S protein [2-9]. Although booster vaccines have been developed to match S protein sequences of circulating SARS-CoV-2 variants [10-13], there is no guarantee that these updated vaccines will protect against future strains of the virus [7,8,14-16].

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Attapon Cheepsattayakorn., et al. “Computational Designs for Vaccines against SARS-CoV-2 Variants”. EC Microbiology  20.10 (2024): 01-06.