在基因组时代推进疫苗开发:疫苗发现的范式转变。

IF 5 Q1 ENGINEERING, BIOMEDICAL
Miraj Ud Din, Xiaohui Liu, Hui Jiang, Sajjad Ahmad, Lai Xiangdong, Xuemei Wang
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引用次数: 0

摘要

由于微生物菌株的迅速增加,抗生素耐药性问题随着时间的推移而日益严重。抗生素的过度使用导致了多重耐药(MDR)、泛耐药(PDR)和广泛耐药(XDR)菌株的出现,使情况进一步恶化。已经考虑并应用了不同的技术来解决这一问题,例如开发新的抗生素、实行抗生素管理、提高卫生水平和控制抗生素的过度使用。疫苗开发对克服这一问题作出了重大贡献,尽管它被低估了。近年来,反向疫苗学为开发不同种类的抗病原体疫苗做出了贡献,彻底改变了疫苗开发过程。反向疫苗学通过使用各种工具来过滤病原体的完整基因组,有助于优先考虑更好的候选疫苗。在这篇综述中,我们将阐明计算疫苗设计,免疫信息学工具,基因组和蛋白质组学数据,以及计算疫苗设计的挑战和成功的故事。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advancing vaccine development in genomic era: a paradigm shift in vaccine discovery.

The issue of antibiotic resistance is increasing with time because of the quick rise of microbial strains. Overuse of antibiotics has led to multidrug-resistant, pan-drug-resistant, and extensively drug-resistant bacterial strains, which have worsened the situation. Different techniques have been considered and applied to combat this issue, such as developing new antibiotics, practicing antibiotic stewardship, improving hygiene levels, and controlling antibiotic overuse. Vaccine development made a substantial contribution to overcoming this issue, although it has been underestimated. In the recent era, reverse vaccinology has contributed to developing different kinds of vaccines against pathogens, revolutionizing the vaccine development process. Reverse vaccinology helps to prioritize better vaccine candidates by using various tools to filter the pathogen's complete genome. In this review, we will shed light on computational vaccine designing, immunoinformatic tools, genomic and proteomic data, and the challenges and success stories of computational vaccine designing.

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CiteScore
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