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相关概念视频

Antigens Involved in Adaptive Immunity01:26

Antigens Involved in Adaptive Immunity

669
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...
669
The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

13.4K
The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:
13.4K
Protein-protein Interfaces02:04

Protein-protein Interfaces

13.2K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
13.2K
Ligand Binding Sites02:40

Ligand Binding Sites

13.2K
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...
13.2K
Antigen Processing Pathways01:31

Antigen Processing Pathways

1.3K
MHC molecules are key players in the immune response, enabling T cells to recognize and respond to specific antigens. They are present on the surface of all nucleated cells in the body and are instrumental in presenting antigens to T cells and activating them. T cells recognize the MHC-antigen complex and initiate an immune response. MHC class I and MHC class II are two main types of MHC molecules, each associated with a distinct antigen processing pathway.
MHC Class I: Presenting Endogenous...
1.3K
Affinity and Avidity01:41

Affinity and Avidity

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Overview
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相关实验视频

Updated: Sep 11, 2025

A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes
07:59

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化合物相互作用演示学习MHC-结合亲和力预测.

Ruimeng Li, Qinke Peng, Haozhou Li

    IEEE transactions on computational biology and bioinformatics
    |August 14, 2025
    PubMed
    概括
    此摘要是机器生成的。

    一个新的深度学习模型,GSM,准确地预测-主要基因相容性复合物I类 (MHC-I) 的结合亲缘关系. 这一进步为免疫识别提供了洞察力,并有助于疫苗设计.

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    相关实验视频

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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:

    • -主要基因相容性复合物I类 (MHC-I) 相互作用对于适应性免疫非常重要.
    • 目前用于预测MHC-结合的计算方法由于数据稀缺和MHC多态性而面临挑战.

    研究的目的:

    • 开发一种新的深度学习模型,用于准确预测MHC-结合亲缘关系.
    • 为了解决现有数据集和MHC结特性计算方法的局限性.

    主要方法:

    • 推出了GSM,这是一个集成图形注意力神经网络和自我注意力卷积神经网络的深度学习模型.
    • 用于全球-MHC相互作用的自我注意力和局部氨基酸相互作用的基于图形的建模.
    • 整合了真实3D结构数据和注意力可视化,用于选择交互地点.

    主要成果:

    • 与基准数据集上的现有算法相比,GSM表现出卓越的性能和稳定性.
    • 该模型有效地捕捉了-MHC结合中的全球和本地相互作用模式.
    • 注意力可视化使得识别关键交互站点成为可能.

    结论:

    • GSM提供了对-MHC结合模式的全面了解.
    • 该模型的准确性和稳定性提升了MHC-结合的预测.
    • GSM为疫苗设计和免疫学研究提供了宝贵的见解.