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Updated: Oct 28, 2025

Engineering Antiviral Agents via Surface Plasmon Resonance

Engineering Antiviral Agents via Surface Plasmon Resonance

Published on: June 14, 2022

New Computational Approach for Peptide Vaccine Design Against SARS-COV-2.

Subhamoy Biswas¹, Smarajit Manna^2,3, Ashesh Nandy³

¹Department of Electrical Engineering, Jadavpur University, Kolkata, 700032 India.

International Journal of Peptide Research and Therapeutics

|July 19, 2021

Summary

This summary is machine-generated.

This study introduces a precise computational method to identify conserved, surface-exposed viral regions for peptide vaccine development. The alignment-free approach successfully identified potential vaccine targets for SARS-CoV-2, Zika, and Hendra viruses.

Keywords:

Alignment-free sequence analysis In silico drug design Peptide vaccines SARS-CoV-2 Viral epidemics

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Area of Science:

Computational biology
Vaccine design
Bioinformatics

Background:

Traditional vaccine design relies on alignment-based or limited alignment-free computational methods.
A precise computational approach is needed to identify optimal peptide vaccine candidates from viral surface proteins.

Purpose of the Study:

To establish a precise, alignment-free computational method for identifying conserved and surface-exposed viral regions.
To determine potential peptide vaccine candidates against SARS-CoV-2 and other viruses.

Main Methods:

Developed two novel mathematical parameters: 'w' (sum of normalized surface accessibility and conservativeness) and 2D Polygon Representation area.
Applied the method to SARS-CoV-2 spike glycoprotein, and validated against Zika and Hendra viruses.
Results verified against manual estimation of conservativeness and surface-exposure graphs.

Main Results:

Identified highly conserved and surface-exposed regions suitable for peptide vaccine candidates.
Demonstrated the method's efficacy in finding vaccine targets for SARS-CoV-2, Zika, and Hendra viruses.
Achieved satisfactory consistency with pre-established results for tested viruses.

Conclusions:

The proposed in silico, alignment-free analysis provides a precise computational approach for vaccine target identification.
The method is effective for SARS-CoV-2 and adaptable for developing peptide vaccines against other viral pathogens.