Trygoniaris Dimitrios, Korda Anna, Paraskeva Anastasia, Dushku Esmeralda, Tzimagiorgis Georgios, Yiangou Minas, Kotzamanidis Charalampos, Malousi Andigoni
Lab of Biological Chemistry, School of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
Department of Genetics, Development & Molecular Biology, School of Biology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
Biology (Basel). 2025 Aug 7;14(8):1019. doi: 10.3390/biology14081019.
Multi-epitope vaccines have become the preferred strategy for protection against infectious diseases by integrating multiple MHC-restricted T-cell and B-cell epitopes that elicit both humoral and cellular immune responses against pathogens. Computational methods address various aspects independently, yet their orchestration is technically challenging, as most bioinformatics tools are accessible through heterogeneous interfaces and lack interoperability features. The present work proposes a novel framework for rationalized multi-epitope vaccine design that streamlines end-to-end analyses through an integrated web-based environment.
VaccineDesigner is a comprehensive web-based framework that streamlines the design of protective epitope-based vaccines by seamlessly integrating computational methods for B-cell, CTL, and HTL epitope prediction. VaccineDesigner incorporates single-epitope prediction and evaluation as well as additional analyses, such as multi-epitope vaccine generation, estimation of population coverage, molecular mimicry, and proteasome cleavage. The functionalities are transparently integrated into a modular architecture, providing a single access point for rationalized, multi-epitope vaccine generation in a time- and cost-effective manner.
VaccineDesigner is a web-based tool that identifies and evaluates candidate B-cell, CTL, and HTL epitopes and constructs a library of multi-epitope vaccines that combine strong immunogenic responses, safety, and broad population coverage. The source code is available under the academic license and freely accessible.
多表位疫苗通过整合多个MHC限制性T细胞和B细胞表位,引发针对病原体的体液免疫和细胞免疫反应,已成为预防传染病的首选策略。计算方法分别处理各个方面,但由于大多数生物信息学工具通过异构接口访问且缺乏互操作性功能,因此对它们进行编排具有技术挑战性。本研究提出了一种新颖的合理多表位疫苗设计框架,该框架通过基于网络的集成环境简化了端到端分析。
VaccineDesigner是一个全面的基于网络的框架,通过无缝集成用于B细胞、CTL和HTL表位预测的计算方法,简化了基于保护性表位的疫苗设计。VaccineDesigner纳入了单表位预测与评估以及其他分析,如多表位疫苗生成、群体覆盖率估计、分子模拟和蛋白酶体切割。这些功能被透明地集成到一个模块化架构中,以具有成本效益的方式为合理的多表位疫苗生成提供了单一访问点。
VaccineDesigner是一种基于网络的工具,可识别和评估候选B细胞、CTL和HTL表位,并构建一个多表位疫苗库,该疫苗库结合了强大的免疫原性反应、安全性和广泛的群体覆盖率。其源代码可在学术许可下获取且免费使用。