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相关概念视频

Ligand Binding Sites02:40

Ligand Binding Sites

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Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
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Ligand Binding Sites02:40

Ligand Binding Sites

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Diversity of Antigen Receptors01:28

Diversity of Antigen Receptors

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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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Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

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Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
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Conserved Binding Sites01:49

Conserved Binding Sites

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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...
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相关实验视频

Updated: Jan 15, 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

Published on: February 6, 2017

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GRAPE:图形规范化蛋白质语言建模解锁了TCR-表位组结合特异性

Xiangzheng Fu1,2, Li Peng3, Haowen Chen4

  • 1Institute of Artificial Intelligence Application, College of Computer and Information Engineering, Central South University of Forestry and Technology, No. 498 Shaoshan South Road, Tianxin District, Changsha, Hunan 410004, China.

Briefings in bioinformatics
|October 6, 2025
PubMed
概括

通过整合图表规范化和不平衡感知学习,GRAPE增强了T细胞受体 (TCR) -表皮质结合预测. 这种新的框架通过解决当前图形神经网络模型的局限性来提高免疫疗法的准确性.

关键词:
在AUC最大化过程中.在TCR-epitope结合过程中.图形规范化规范化蛋白质语言模型的模型

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Measuring TCR-pMHC Binding In Situ using a FRET-based Microscopy Assay
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A Protocol for Computer-Based Protein Structure and Function Prediction
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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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Measuring TCR-pMHC Binding In Situ using a FRET-based Microscopy Assay
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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:

  • 预测T细胞受体 (TCR) -表皮质结合 (TEB) 对于开发免疫疗法至关重要.
  • 使用图形神经网络 (GNN) 的现有方法在稀疏的数据和不平衡的预测中扎.

研究的目的:

  • 为准确的TEB预测开发一个强大的框架,GRAPE (图形规则化的注意力蛋白嵌入).
  • 为了解决TEB的GNN中的过度平滑和预测偏差.

主要方法:

  • 使用蛋白质语言模型 (ESM-2) 进行进化信息的TCR/表位嵌入.
  • 实现了光谱图规则化,以防止稀疏图中的过度平滑.
  • 引入了动态边缘重权和可微分的AUC最大化目标,以实现不平衡弹性.

主要成果:

  • 在公共TEB预测数据集上,GRAPE显著超过了最先进的方法.
  • 该框架有效地减轻了过度平滑和预测偏差.
  • 在预测TCR-表皮质相互作用方面表现出更好的准确性.

结论:

  • GRAPE提供了一个强大而稳健的框架,用于理解TCR-表皮质相互作用.
  • 这种方法在免疫学研究和新疗法设计中具有广泛的应用.