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相关概念视频

Diversity of Antigen Receptors01:28

Diversity of Antigen Receptors

1.4K
Antigen receptors are essential components of the immune system crucial in defending the body against foreign invaders. These receptors are present on the surface of B and T cells, enabling them to recognize antigens and mount an appropriate immune response.
Before encountering any antigen, lymphocytes express these receptors. On B cells, the antigen receptor is a membrane-bound antibody molecule called BCR; on T cells, it is a T cell receptor or TCR. B and T cell receptors are composed of two...
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T Cell Activation and Clonal Selection01:22

T Cell Activation and Clonal Selection

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T cells are integral to our adaptive immune system, recognizing and effectively responding to foreign antigens. T cell activation and clonal selection are pivotal in orchestrating this immune response. This article elucidates these mechanisms, detailing the roles of cluster of differentiation (CD) markers, major histocompatibility complex (MHC) molecules, costimulatory signals, and the process of clonal selection.
Naive T cells that have not yet encountered an antigen express two primary CD...
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Tumor Immunotherapy01:27

Tumor Immunotherapy

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Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.
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相关实验视频

Updated: Jan 13, 2026

Using X-ray Crystallography, Biophysics, and Functional Assays to Determine the Mechanisms Governing T-cell Receptor Recognition of Cancer Antigens
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Using X-ray Crystallography, Biophysics, and Functional Assays to Determine the Mechanisms Governing T-cell Receptor Recognition of Cancer Antigens

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ProTCR:一种蛋白质语言模型驱动的框架,用于解码TCR-抗原识别,用于精确免疫疗法.

Minrui Xu1,2, Manman Lu1,3, Peng Liu1

  • 1Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200237, China.

Briefings in bioinformatics
|January 11, 2026
PubMed
概括

一个新的计算模型,ProTCR,准确地预测T细胞受体 (TCR) 与的相互作用. 这通过确定癌症和SARS-CoV-2等传染病的治疗点来推进基于TCR的免疫疗法.

关键词:
这是一种TCR-.模型的解释性可解释性精确免疫疗法精确免疫疗法蛋白质语言模型

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Identification of Mediators of T-cell Receptor Signaling via the Screening of Chemical Inhibitor Libraries
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Generating De Novo Antigen-specific Human T Cell Receptors by Retroviral Transduction of Centric Hemichain
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相关实验视频

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Using X-ray Crystallography, Biophysics, and Functional Assays to Determine the Mechanisms Governing T-cell Receptor Recognition of Cancer Antigens

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Identification of Mediators of T-cell Receptor Signaling via the Screening of Chemical Inhibitor Libraries
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科学领域:

  • 免疫学 免疫学 免疫学
  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • T细胞受体 (TCRs) 对于适应性免疫至关重要,它们识别新抗原以启动免疫反应.
  • 确定特定的TCR-相互作用对于开发有效的基于TCR的免疫疗法至关重要,但仍然是一个重大挑战.
  • 现有的方法通常依赖于已知的-TCR对,限制了它们的适用性.

研究的目的:

  • 开发一种新的计算模型,ProTCR,用于准确预测TCR-识别.
  • 提高TCR识别模式分析的通用性和生物解释性.
  • 为设计精密免疫疗法提供计算基础.

主要方法:

  • 将蛋白质语言模型ProtT5与双通道网络中的深度学习技术集成.
  • 利用全球和本地特征提取来实现高效的氨基酸序列表示.
  • 跨多种数据集的验证,包括新抗原,新和MHCII类受限制的表位.

主要成果:

  • ProTCR在各种数据集中展示了强大的性能和广泛的适用性,超过了以前的方法.
  • 该模型准确地预测了未见的和各种抗原的TCR-相互作用.
  • 当应用于临床相关场景时,观察到一致的高精度和稳定性,包括癌症免疫疗法和病原体识别 (流感,SARS-CoV-2).

结论:

  • ProTCR提供了一种强大而通用的工具,用于阐明免疫反应机制.
  • 该模型克服了以前方法的局限性,因为它不仅仅依赖已知的TCR-对.
  • ProTCR为推进基于新抗原和TCR的精密免疫疗法策略提供了强大的计算基础.