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Antigens Involved in Adaptive Immunity01:26

Antigens Involved in Adaptive Immunity

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An antigen is any substance the immune system identifies as foreign and potentially harmful to the body, prompting an immune response. Antigens have two functional properties: immunogenicity and reactivity. Immunogenicity is the ability of an antigen to stimulate a specific immune response. At the same time, reactivity describes the antigen's ability to react with the cells and antibodies produced in response to it.
Complete Antigens
Complete antigens possess both immunogenicity and...
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相关实验视频

Updated: May 21, 2025

Enrich and Expand Rare Antigen-specific T Cells with Magnetic Nanoparticles
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利用人工智能进行新抗原预测.

Jing Zeng1, Zhengjun Lin1, Xianghong Zhang1

  • 1Second Xiangya Hospital of Central South University, Changsha, Hunan, China.

Cancer research
|March 18, 2025
PubMed
概括

人工智能 (AI) 模型正在通过预测瘤特定的新抗原来彻底改变癌症免疫疗法. 这些先进的AI工具提高了免疫新抗原的发现,以获得更有效的癌症治疗方法.

科学领域:

  • 在瘤学瘤学.
  • 免疫学 免疫学 免疫学
  • 生物信息学是一种生物信息学.

背景情况:

  • 来自瘤特异性突变的新抗原是癌症免疫治疗的关键标.
  • 鉴定引发抗瘤免疫反应的免疫新抗原是具有挑战性的,因为复杂的相互作用.
  • 对新抗原的实验验证是资源密集且低效的.

研究的目的:

  • 提供当前用于新抗原预测的人工智能 (AI) 方法的全面摘要.
  • 专注于AI在模拟-MHC (pMHC) 和pMHC-TCR结合方面的能力.
  • 为了对抗原呈现预测因子的性能进行基准测试,用于新抗原免疫性得分.

主要方法:

  • 对现有的人工智能方法进行新抗原预测的审查和总结.
  • 对AI模型的分析,重点是-MHC (pMHC) 结合预测.
  • 用AI驱动的抗原呈现预测器进行免疫性评估的基准测试.

主要成果:

  • 人工智能模型越来越多地被用于发现免疫新抗原,克服实验限制.
  • 该研究评估了AI在建模pMHC和pMHC-TCR相互作用中的有效性.
  • 基准分析评估了AI预测因子在评分新抗原免疫性方面的表现.

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相关实验视频

Last Updated: May 21, 2025

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结论:

  • 人工智能方法表明,通过精确的新抗原预测,促进瘤免疫疗法的巨大潜力.
  • 克服目前数据,算法和验证的局限性对于临床翻译至关重要.
  • 人工智能的未来进展预计将提高新抗原发现的精度和实用性.