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VaccineDesigner: A Web-Based Tool for Streamlined Multi-Epitope Vaccine Design.

Dimitrios Trygoniaris¹, Anna Korda², Anastasia Paraskeva²

¹Lab of Biological Chemistry, School of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.

|September 4, 2025

Summary

This study introduces VaccineDesigner, a web-based framework for designing multi-epitope vaccines. It integrates various computational tools for efficient and cost-effective vaccine development against infectious diseases.

Keywords:

B cell CTL HTL epitope prediction immunoinformatics multi-epitope vaccines pathogen genomes reverse vaccinology web-based tool

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Area of Science:

Vaccinology
Computational Biology
Bioinformatics

Background:

Multi-epitope vaccines are crucial for infectious disease protection, eliciting both humoral and cellular immunity.
Current computational tools for vaccine design are often fragmented and lack interoperability.
A unified approach is needed to streamline the complex process of multi-epitope vaccine development.

Purpose of the Study:

To develop a novel, integrated web-based framework for rationalized multi-epitope vaccine design.
To streamline end-to-end computational analyses for vaccine development.
To provide a user-friendly platform for generating effective epitope-based vaccines.

Main Methods:

Development of VaccineDesigner, a comprehensive web-based framework.
Integration of computational methods for B-cell, cytotoxic T-lymphocyte (CTL), and helper T-lymphocyte (HTL) epitope prediction.
Inclusion of analyses for population coverage, molecular mimicry, and proteasome cleavage.

Main Results:

VaccineDesigner seamlessly integrates diverse epitope prediction and evaluation tools.
The framework supports single-epitope analysis and multi-epitope vaccine generation.
It offers a single access point for efficient and cost-effective vaccine design.

Conclusions:

VaccineDesigner is a web-based tool for identifying and evaluating B-cell, CTL, and HTL epitopes.
It constructs multi-epitope vaccines with strong immunogenicity, safety, and broad population coverage.
The tool's source code is freely accessible for academic use.