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相关概念视频

Hybridoma Technology01:31

Hybridoma Technology

17.3K
Hybridoma technology is used for the large-scale production of monoclonal antibodies. Monoclonal antibodies bind to only a single antigenic determinant or epitope. Such antibodies are used in research, diagnostics, and disease therapy. The hybridoma technology established in 1975 by Georges Köhler and Cesar Milstein was awarded the Nobel Prize in Medicine in 1984 for revolutionizing research and therapy.
Hybridoma Selection
Commonly used fusion techniques — electroporation,...
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Cross-reactivity00:42

Cross-reactivity

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Overview
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B Cell Activation and Differentiation01:24

B Cell Activation and Differentiation

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The adaptive immune response, a sophisticated defense mechanism, relies on the activation and differentiation of B lymphocytes, or B cells. These processes enable our bodies to mount a tailored response against specific pathogens such as bacteria, free virus particles, toxins, and parasites.
When naive B cells encounter a specific antigen that can bind to the B cell receptor (BCR) on their surface, they undergo sensitization to respond to the antigen's presence. Sensitization begins with...
16.0K

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相关实验视频

Updated: Jan 16, 2026

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

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

Published on: March 25, 2014

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改善B细胞表位预测的方法

Hao Yu1, Diane Joseph-McCarthy2, Sandor Vajda1

  • 1Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA; Department of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA.

Drug discovery today
|October 3, 2025
PubMed
概括
此摘要是机器生成的。

预测抗体对抗原的结合部位对于免疫学和抗体疗法至关重要. 与其他方法相比,将AlphaFold 3与AbEMap相结合显著提高了表位预测的准确性.

关键词:
在 AbEMap 里面.阿尔法 折叠 2 2阿尔法 折叠3 3迪斯科托普 3.0 在线播放在SEPPA 3.0中,扫描网 (ScanNET) 是一个网络.抗体的表位是抗体的表位.机器学习是机器学习.

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Peptide Scanning-assisted Identification of a Monoclonal Antibody-recognized Linear B-cell Epitope
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Peptide Scanning-assisted Identification of a Monoclonal Antibody-recognized Linear B-cell Epitope

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Single-cell Screening Method for the Selection and Recovery of Antibodies with Desired Specificities from Enriched Human Memory B Cell Populations
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Single-cell Screening Method for the Selection and Recovery of Antibodies with Desired Specificities from Enriched Human Memory B Cell Populations

Published on: August 22, 2019

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相关实验视频

Last Updated: Jan 16, 2026

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

Published on: March 25, 2014

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Peptide Scanning-assisted Identification of a Monoclonal Antibody-recognized Linear B-cell Epitope
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Peptide Scanning-assisted Identification of a Monoclonal Antibody-recognized Linear B-cell Epitope

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Single-cell Screening Method for the Selection and Recovery of Antibodies with Desired Specificities from Enriched Human Memory B Cell Populations
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科学领域:

  • 免疫学 免疫学 免疫学
  • 结构生物学 结构生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 预测皮层对于理解免疫反应和开发抗体疗法至关重要.
  • 目前的方法往往是抗体不可知或需要复杂的抗体结构.
  • 机器学习的进步为表位预测提供了新的途径.

研究的目的:

  • 为了评估现有的表位预测方法.
  • 评估将AlphaFold 3与AbEMap结合用于抗体特异性表位预测的性能.

主要方法:

  • 对流行的抗体不可知和抗体特异性表位预测工具的评估.
  • 将AlphaFold 3 (蛋白质结构预测) 与AbEMap (表位预测程序) 的集成.

主要成果:

  • 结合AlphaFold 3和AbEMap的方法表现出卓越的性能.
  • 这种综合方法显著优于其他经过测试的表位预测策略.

结论:

  • 将先进的蛋白质结构预测与专门的表位图绘制工具相结合,可以提高预测的准确性.
  • 这种综合方法代表了针对治疗开发的抗体特异性表位预测的重大进步.