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相关概念视频

Diversity of Antigen Receptors01:28

Diversity of Antigen Receptors

808
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...
808
Conserved Binding Sites01:49

Conserved Binding Sites

4.4K
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
4.4K
T Cell Activation and Clonal Selection01:22

T Cell Activation and Clonal Selection

5.2K
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...
5.2K

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相关实验视频

Updated: Sep 15, 2025

Measuring TCR-pMHC Binding In Situ using a FRET-based Microscopy Assay
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Measuring TCR-pMHC Binding In Situ using a FRET-based Microscopy Assay

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解决TCR生成和具有约束力的预测的双重挑战.

Se Yeon Seo1, Je-Keun Rhee1

  • 1Department of Bioinformatics & Life Science, Soongsil University, Seoul 06978, Korea.

Bioinformatics (Oxford, England)
|July 15, 2025
PubMed
概括

我们开发了TCR-epiDiff,这是一种深度学习模型,可以生成表位特异的T细胞受体 (TCR),并预测TCR-表位结合. 这促进了疫苗设计和免疫治疗的发展.

科学领域:

  • 免疫信息学是指免疫信息学.
  • 计算生物学 计算生物学
  • 深度学习 (Deep Learning) 是一种深度学习.

背景情况:

  • T细胞受体 (TCRs) 是适应性免疫的关键,识别特定的抗原.
  • 设计针对疫苗和免疫疗法的表位特异性TCR是具有挑战性的,因为序列多样性和结合复杂性.

研究的目的:

  • 开发一种深度学习模型,用于生成表位特异性TCR.
  • 为了创建一个模型来预测TCR-Epitope结合.
  • 为推进向免疫疗法提供一个全面的工具.

主要方法:

  • 提出了基于扩散的深度学习模型TCR-epiDiff.
  • 集成的表位信息使用ProtT5-XL用于TCR序列嵌入.
  • 在TCR序列生成中采用了一种无声化的扩散概率模型.

主要成果:

  • 使用外部验证数据集生成生物可信的,表位特异的TCR.
  • 开发了一个TCR-epitope结合预测器,在验证数据上具有强大的性能.
  • 证明了TCR生成和约束性预测的综合解决方案.

结论:

更多相关视频

Streamlined Single Cell TCR Isolation and Generation of Retroviral Vectors for In Vitro and In Vivo Expression of Human TCRs
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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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Last Updated: Sep 15, 2025

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Streamlined Single Cell TCR Isolation and Generation of Retroviral Vectors for In Vitro and In Vivo Expression of Human TCRs
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Streamlined Single Cell TCR Isolation and Generation of Retroviral Vectors for In Vitro and In Vivo Expression of Human TCRs

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

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  • TCR-epiDiff提供了一种强大的方法,用于新的表位特异性TCRs的生成.
  • 该模型增强了TCR-Epitope绑定预测能力.
  • 这项工作为免疫多样性提供了宝贵的见解,并促进了针对性免疫治疗的开发.