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相关概念视频

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
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
G Protein-coupled Receptors01:15

G Protein-coupled Receptors

13.4K
G Protein-Coupled Receptors or GPCRs are membrane-bound receptors that transiently associate with heterotrimeric G proteins and induce an appropriate response to sensory stimuli such as light, odors, hormones, cytokines, or neurotransmitters.
GPCRs are also called heptahelical, 7TM, or serpentine receptors, and consist of seven (H1-H7) transmembrane alpha-helices that span the bilayer to form a cylindrical core. The transmembrane helices are connected by three extracellular loops and three...
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

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相关实验视频

Updated: Sep 11, 2025

Measuring TCR-pMHC Binding In Situ using a FRET-based Microscopy Assay
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从使用图形神经网络的结构中预测TCR-pMHC绑定特异性.

Jared K Slone, Anja Conev, Mauricio M Rigo

    IEEE transactions on computational biology and bioinformatics
    |August 14, 2025
    PubMed
    概括

    预测T细胞受体 (TCR) 和-MHC (pMHC) 相互作用是癌症免疫治疗的关键. 一个新的基于图形的机器学习模型,STAG,使用3D蛋白质结构来准确预测TCR-pMHC结合.

    科学领域:

    • 免疫学 免疫学 免疫学
    • 计算生物学 计算生物学
    • 结构生物学 结构生物学

    背景情况:

    • 将T细胞受体 (TCR) 映射到相关酸中对于癌症免疫疗法至关重要.
    • 当前的计算方法主要依赖于氨基酸序列,往往无法捕获复杂的结合特征.
    • 结构生物学方面的进步为TCR,和MHC提供了3D结构数据,提供了新的预测见解.

    研究的目的:

    • 开发一种用于预测TCR-pMHC结合特异性的新计算方法.
    • 利用TCR和pMHC的3D结构信息来提高预测准确度.
    • 引入STAG,一种基于图形的机器学习架构,用于TCR-pMHC绑定预测.

    主要方法:

    • 开发了基于图形的机器学习架构STAG.
    • 利用来自TCRs和pMHCs3D蛋白质结构的空间和物理化学特征.
    • 将STAG性能与现有的基于序列和结构不可知的方法进行比较.

    主要成果:

    • 在预测TCR-pMHC结合特异性方面,STAG实现了与现有方法相比或优于现有方法的性能.
    • 该模型有效地利用结构特征,在某些情况下优于基于序列的方法.
    • 证明了3D结构数据在理解TCR-pMHC相互作用中的实用性.

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    结论:

    • 基于3D结构的方法对于准确的TCR-pMHC结合预测至关重要.
    • STAG提供了一种强大的新工具,用于使用结构数据分析TCR-pMHC相互作用.
    • 这种方法对推进癌症免疫治疗研究和开发具有重大潜力.