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加速疫苗研发:针对新发传染病的即插即用平台

Accelerating vaccine development: Plug-and-play platforms for emerging infectious diseases.

作者信息

Yang Kairui

机构信息

The Stony Brook School, 1 Chapman Pkwy, Stony Brook, NY 11790, USA.

出版信息

Virus Res. 2025 Jun 21;358:199601. doi: 10.1016/j.virusres.2025.199601.

DOI:10.1016/j.virusres.2025.199601
PMID:40550258
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12266562/
Abstract

Emerging pathogens underscore an urgent need for rapidly developed vaccines to minimize mortality and societal disruption. Traditional vaccine development requires time spans of years, making it ill-suited to fast evolving viruses that can overwhelm healthcare systems and economies. In response, plug-and-play vaccine platforms offer a more agile solution. By reusing proven backbones, they reduce the repetitive safety and production steps otherwise required for each new pathogen, thus accelerating both regulatory approval and large-scale manufacturing. In parallel, artificial intelligence and computational tools enable faster antigen and epitope identification, more accurate immune response modeling, and improved vaccine design. These innovations have already shortened timelines and enhanced efficacy.

摘要

新出现的病原体凸显了对快速开发疫苗的迫切需求,以尽量减少死亡率和社会混乱。传统疫苗开发需要数年时间,这使其不适用于能压垮医疗系统和经济的快速演变的病毒。作为回应,即插即用疫苗平台提供了一种更灵活的解决方案。通过复用经过验证的主干,它们减少了针对每种新病原体原本所需的重复性安全和生产步骤,从而加快了监管审批和大规模生产的速度。与此同时,人工智能和计算工具能够更快地识别抗原和表位,更准确地模拟免疫反应,并改进疫苗设计。这些创新已经缩短了研发时间并提高了疗效。

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本文引用的文献

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VirusImmu: a novel ensemble machine learning approach for viral immunogenicity prediction.VirusImmu:一种用于病毒免疫原性预测的新型集成机器学习方法。
Brief Funct Genomics. 2025 Jan 15;24. doi: 10.1093/bfgp/elaf008.
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Computational biology and artificial intelligence in mRNA vaccine design for cancer immunotherapy.用于癌症免疫治疗的mRNA疫苗设计中的计算生物学与人工智能
Front Cell Infect Microbiol. 2025 Jan 20;14:1501010. doi: 10.3389/fcimb.2024.1501010. eCollection 2024.
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Exploring Future Pandemic Preparedness Through the Development of Preventive Vaccine Platforms and the Key Roles of International Organizations in a Global Health Crisis.通过开发预防性疫苗平台探索未来大流行防范以及国际组织在全球卫生危机中的关键作用。
Vaccines (Basel). 2025 Jan 10;13(1):56. doi: 10.3390/vaccines13010056.
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Platform Technology in Global Vaccine Regulation: Development, Applications, and Regulatory Strategies with Insights from China.全球疫苗监管中的平台技术:发展、应用及监管策略——来自中国的见解
Vaccines (Basel). 2024 Dec 20;12(12):1436. doi: 10.3390/vaccines12121436.
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Signal Peptides and Their Fragments in Post-Translation: Novel Insights of Signal Peptides.翻译后修饰中的信号肽及其片段:信号肽的新见解
Int J Mol Sci. 2024 Dec 18;25(24):13534. doi: 10.3390/ijms252413534.
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Updated WHO list of emerging pathogens for a potential future pandemic: Implications for public health and global preparedness.世界卫生组织更新的潜在未来大流行新兴病原体清单:对公共卫生和全球防范的影响
Infez Med. 2024 Dec 1;32(4):463-477. doi: 10.53854/liim-3204-5. eCollection 2024.
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Prediction of antigenic peptides of SARS- CoV-2 pathogen using machine learning.利用机器学习预测新冠病毒病原体的抗原肽
PeerJ Comput Sci. 2024 Oct 10;10:e2319. doi: 10.7717/peerj-cs.2319. eCollection 2024.
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Viral Live-Attenuated Vaccines (LAVs): Past and Future Directions.病毒减毒活疫苗:过去与未来的发展方向
Adv Sci (Weinh). 2025 Jan;12(3):e2407241. doi: 10.1002/advs.202407241. Epub 2024 Dec 6.
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ACS Synth Biol. 2024 Nov 15;13(11):3724-3745. doi: 10.1021/acssynbio.4c00587. Epub 2024 Oct 31.
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Vaccines (Basel). 2024 Sep 1;12(9):1000. doi: 10.3390/vaccines12091000.