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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

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: May 27, 2025

Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis
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Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis

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为了公平的主要基因相容性复杂结合预测.

Eric Glynn1,2, Dario Ghersi3, Mona Singh2,4

  • 1Department of Molecular Biology, Princeton University, Princeton, NJ 08544.

Proceedings of the National Academy of Sciences of the United States of America
|February 18, 2025
PubMed
概括

深度学习用于预测主要组织相容性复合体 (MHC) 结合,显示了种族差异. 一个新的框架和模型减轻了这些数据不平衡,促进了公平的个性化免疫疗法.

关键词:
癌症免疫疗法癌症免疫疗法深度学习是一种深度学习.在精密瘤学中的健康公平.新抗原预测预测预测主要组织相容性复合体 (MHC) 的结合.

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A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes
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Stability and Structure of Bat Major Histocompatibility Complex Class I with Heterologous β2-Microglobulin
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相关实验视频

Last Updated: May 27, 2025

Immunopeptidomics: Isolation of Mouse and Human MHC Class I- and II-Associated Peptides for Mass Spectrometry Analysis
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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
  • 基因组学就是基因组学.

背景情况:

  • 主体组织相容性复合体 (MHC) 的结合预测对于个性化癌症免疫疗法和疫苗至关重要.
  • 公平的应用需要在不同的人群和MHC等位基因中表现良好的方法.
  • 在种族和种族群体之间,对于不同MHC等位基因可获得的有约束力的数据量存在显著差异.

研究的目的:

  • 评估数据不平衡对多种不同人群中MHC约束性预测的影响.
  • 开发一个先进的MHC有约束力的预测模型,以解释和减轻数据差异.
  • 在个性化医学中建立一个公平的MHC绑定模型的基础.

主要方法:

  • 开发了一种机器学习框架,以评估数据失衡对MHC等位基因结合预测的影响.
  • 应用了框架来创建一个最先进的MHC绑定预测模型,以每位基因的性能估计.
  • 制定了针对性数据收集的算法策略,以解决剩余的不平等问题.

主要成果:

  • 确定了跨种族和族群的MHC有约束力的数据可用性的令人担忧的差异.
  • 开发的MHC绑定模型显著缓解了与数据不平衡相关的性能差异.
  • 该模型提供了每位基因的性能估计,提高了透明度和可靠性.

结论:

  • 该研究强调了MHC对免疫疗法的约束性预测中的关键数据公平问题.
  • 新的框架和模型推动了更公平,更准确的预测工具的开发.
  • 这项工作是建立公平的MHC结合模型的基础,这对于个性化癌症治疗至关重要.