This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Open AccessArticle
HLA Binding Peptide-Based Designing of Non-Spike Universal Nanovaccine Against SARS-COV-2: A Computational Approach
by
Puja Jaishwal
Puja Jaishwal and
Satarudra Prakash Singh
Satarudra Prakash Singh *
Department of Biotechnology, Mahatma Gandhi Central University, Motihari 845401, India
*
Author to whom correspondence should be addressed.
Biophysica 2026, 6(4), 55; https://doi.org/10.3390/biophysica6040055 (registering DOI)
Submission received: 23 April 2026
/
Revised: 5 June 2026
/
Accepted: 14 June 2026
/
Published: 25 June 2026
Abstract
The continuous evolution of the SARS-CoV-2 virus, marked by the emergence of new variants, poses a significant threat to the efficacy of existing vaccines. However, a promising approach to addressing vaccine failure caused by viral mutations (particularly in the spike protein) is the development of a variant-proof (conserved), non-spike, multiepitope universal nanostructure vaccine with multifunctionality, biocompatibility, self-adjuvanticity, and structural similarity to pathogens in terms of size and shape. This study aimed to design a self-assembled nanostructure vaccine (SANV) featuring pentameric and trimeric coiled-coil peptide motifs, as well as other functional motifs, including epitopes, TAT, PADRE, and adjuvant. The cytotoxic T lymphocyte (CTL), helper T lymphocyte (HTL), and B lymphocyte (BL) epitopes of SANV were screened from the IEDB with more than 50% individual predicted population coverage (PPC) and fused using linkers to enable self-assembly. The multimerization of the 24 SANV monomers was modeled using the GalaxyHomomer and AlphaFold web servers. Subsequently, the leading SANV constructs with (SANVa9) and without (SANVb6) adjuvant were analyzed for their physicochemical profiles and assessed for antigenicity, allergenicity, solubility, and antioxidant potential. Furthermore, the molecular interactions, specificity, and stability of SANVa9 and SANVb6 with the broadly neutralizing sarbecovirus antibody 5817 and toll-like receptors (TLR2, TLR3, and TLR7) were analyzed using molecular docking and simulation over a 100-nanosecond time scale. Finally, the comparative immune simulation profiles of SANVa9 and SANVb6 with controls indicated stronger, broad-spectrum immune responses that could be translated into in vitro and in vivo studies and warrant further evaluation before clinical use.
Share and Cite
MDPI and ACS Style
Jaishwal, P.; Singh, S.P.
HLA Binding Peptide-Based Designing of Non-Spike Universal Nanovaccine Against SARS-COV-2: A Computational Approach. Biophysica 2026, 6, 55.
https://doi.org/10.3390/biophysica6040055
AMA Style
Jaishwal P, Singh SP.
HLA Binding Peptide-Based Designing of Non-Spike Universal Nanovaccine Against SARS-COV-2: A Computational Approach. Biophysica. 2026; 6(4):55.
https://doi.org/10.3390/biophysica6040055
Chicago/Turabian Style
Jaishwal, Puja, and Satarudra Prakash Singh.
2026. "HLA Binding Peptide-Based Designing of Non-Spike Universal Nanovaccine Against SARS-COV-2: A Computational Approach" Biophysica 6, no. 4: 55.
https://doi.org/10.3390/biophysica6040055
APA Style
Jaishwal, P., & Singh, S. P.
(2026). HLA Binding Peptide-Based Designing of Non-Spike Universal Nanovaccine Against SARS-COV-2: A Computational Approach. Biophysica, 6(4), 55.
https://doi.org/10.3390/biophysica6040055
Article Metrics
Article metric data becomes available approximately 24 hours after publication online.