Engineering a broad-spectrum multi-epitope vaccine to combat emerging monkeypox virus by immunoinformatic approaches

Author:

Puagsopa Japigorn1,Jumpalee Panuwid2,Lohasupthawee Pana2,Sutjaritvorakul Thanawat3,Meksiriporn Bunyarit2

Affiliation:

1. University of Florida

2. King Mongkut's Institute of Technology Ladkrabang

3. Pathumwan Institute of Technology

Abstract

Abstract

Monkeypox virus (MPXV), has caused 41,664 confirmed cases and five deaths in non-endemic regions, as reported by the World Health Organization (WHO). There is an urgent demand for effective vaccines to combat and prevent the spread of MPXV. Traditional vaccine development is low-throughput, expensive, time-consuming, and susceptible to reversion to virulence. As an alternative, a reverse vaccinology approach can be employed as a promising tool to design effective and safe vaccines against MPXV. Here, MPXV proteins associated with viral infection were analyzed for potential immunogenic epitopes to design multi-epitope vaccine constructs based on B-cell, CD4+, and CD8+ epitopes. Epitopes were selected based on allergenicity, antigenicity, and toxicity parameters. The prioritized epitopes were then combined via peptide linkers and N-terminally fused to various protein adjuvants, including PADRE, beta-defensin 3, 50S ribosomal protein L7/12, RS-09, and the cholera toxin B subunit (CTB). All vaccine constructs were further computationally validated for physicochemical properties, antigenicity potential, allergenicity, safety, solubility, and structural stability. The three-dimensional structure of the selected construct was also predicted. Moreover, molecular docking and molecular dynamics (MD) simulations between the vaccine and the TLR-4 immune receptor demonstrated a strong and stable interaction. The vaccine construct was codon-optimized for high expression in the E. coli platform and was finally cloned in silico into the pET21a(+) vector. Collectively, these results could represent innovative tools for vaccine formulation against MPXV and be transformative for other infectious diseases.

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3