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相关概念视频

Antigens Involved in Adaptive Immunity01:26

Antigens Involved in Adaptive Immunity

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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...
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Conserved Binding Sites01:49

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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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Ligand Binding Sites02:40

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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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相关实验视频

Updated: Jul 24, 2025

A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes
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免疫信息学:预测-MHC结合

Morten Nielsen1,2, Massimo Andreatta2, Bjoern Peters3,4

  • 1Department of Health Technology, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark.

Annual review of biomedical data science
|July 10, 2023
PubMed
概括
此摘要是机器生成的。

免疫信息学使用计算工具来预测分子如何向T细胞呈现抗原. 这对于开发个性化疫苗和癌症疗法至关重要,通过了解个体免疫反应.

关键词:
在MHC中,MHC是最重要的.在T细胞,T细胞.抗原呈现的呈现方式.免疫表现的表现.机器学习是机器学习.

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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
  • 免疫学 免疫学 免疫学

背景情况:

  • 了解主要基因相容综合体 (MHC) 分子对T细胞的抗原呈现对于适应性免疫,感染和癌症至关重要.
  • MHC的多基因和多态性质需要先进的生物信息学来绘制各种各样的全型及其结特征.
  • 个性化医学依赖于预测MHC呈现的抗原,用于免疫系统操纵和治疗设计.

研究的目的:

  • 描述用于预测-MHC结合的计算工具的开发.
  • 展示从先进的方法到最先进的免疫信息学方法的进展.
  • 为了能够准确地预测所有MHC分子的结,包括未表征的分子.

主要方法:

  • 应用计算机科学方法来建模免疫系统.
  • 开发和完善用于预测-MHC相互作用的计算算法.
  • 利用生物信息学来绘制广泛的MHC全型及其独特的结特性.

主要成果:

  • 创建能够准确预测与MHC分子结合的计算工具.
  • 了解MHC.抗原呈现规则的进展.
  • 促进用于疫苗和癌症研究的T细胞表位发现.

结论:

  • 计算工具对于预测-MHC结合至关重要,进步免疫信息学.
  • 准确的预测模型是个性化医学,疫苗开发和癌症免疫治疗的关键.
  • 开发的工具将预测能力扩展到所有MHC分子,包括新型分子.