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人工智能在疫苗研发中的应用研究进展

Research progress on application of artificial intelligence in vaccine development

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【作者】 唐权窦骏

【Author】 TANG Quan;DOU Jun;Southeast University Library;School of Medicine, Southeast University;College of Health Science and Technology, West Yunnan University of Applied Science;

【通讯作者】 窦骏;

【机构】 东南大学图书馆东南大学医学院滇西应用技术大学健康科技学院

【摘要】 人工智能(AI)开创了疫苗设计的新时代,AI在疫苗研发中的作用、潜力及对整个疫苗行业的变革影响越来越受到重视。本综述运用文献调研方法,对近5年国内外AI在疫苗研发应用中的论文进行收集、梳理并总结主要研究成果。AI工具或方法已应用于疫苗靶抗原选择与设计、表位预测、抗原呈递相关分子间作用预测等。AI有助于筛选鉴定更安全有效的新型佐剂候选物,可以模拟疫苗的临床试验,节约开发成本,加快疫苗研发进程。AI算法促进了疫苗开发各个阶段的迭代优化、参数调整和决策,最终加速候选疫苗从实验室到临床实践的转化。尽管AI应用于疫苗研发面临数据异质性、模型可解释性等挑战,但AI的应用可通过筛选精确、快速、个性化和通用的疫苗来改变全球疫苗研发的格局。

【Abstract】 The advent of artificial intelligence(AI) has ushered in a new era in vaccine design, the role and potentiality of AI in vaccine development, and its impact on changes of vaccine industry are increasingly being recognized. By adopting the literature investigation approach, this review studies application of AI in vaccine development around the world by collecting and analyzing papers in the past 5 years, and summarizes the main research results. AI tools or methods have been applied to antigen selection and design, epitope prediction, antigen presentation related molecular interactions prediction, etc. AI-driven methods can help screen and identify safer and more effective adjuvants, simulate clinical trials of vaccines, save development costs, and accelerate vaccine development process. AI algorithms facilitate iterative optimization, parameter tuning, and decision-making across various stages of vaccine development, ultimately accelerating the translation of vaccine candidates from the bench to the bedside. Although application of AI in vaccine research and development faces challenges such as data heterogeneity and model interpretability, application of AI can change the global landscape of vaccine research and development by screening precise, rapid, personalized and universal vaccines.

【基金】 江苏高校哲学社会科学研究基金项目(2019SJA0018);CALIS全国医学文献信息中心2018年度科研基金项目(CALIS-2018-03-001)
  • 【文献出处】 中国免疫学杂志 ,Chinese Journal of Immunology , 编辑部邮箱 ,2026年01期
  • 【分类号】R392-33;TP18
  • 【下载频次】104
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