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相关概念视频

Hybridoma Technology01:31

Hybridoma Technology

17.2K
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,...
17.2K
Antibody Structure and Classes01:25

Antibody Structure and Classes

8.1K
Antibodies, also known as immunoglobulins, are produced by B cells in response to foreign substances, such as bacteria and viruses. These proteins are critical for recognizing and neutralizing these substances, protecting the body from potential harm.
The basic structure of an antibody consists of four protein chains: two identical heavy chains and two identical light chains. These chains are held together by disulfide bonds and other non-covalent interactions, forming a Y-shaped structure.
8.1K
Antibody Structure01:10

Antibody Structure

65.2K
Overview
Antibodies, also known as immunoglobulins (Ig), are essential players of the adaptive immune system. These antigen-binding proteins are produced by B cells and make up 20 percent of the total blood plasma by weight. In mammals, antibodies fall into five different classes, which each elicits a different biological response upon antigen binding.
The Y-Shaped Structure of Antibodies Consists of Four Polypeptide Chains
Antibodies consist of four polypeptide chains: two identical heavy...
65.2K
B Cell Activation and Differentiation01:24

B Cell Activation and Differentiation

15.8K
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...
15.8K

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相关实验视频

Updated: Jan 10, 2026

Generation of Murine Monoclonal Antibodies by Hybridoma Technology
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Generation of Murine Monoclonal Antibodies by Hybridoma Technology

Published on: January 2, 2017

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对单克隆抗体的基于能源的生成模型.

Paul Pereira1,2, Hervé Minoux2, Aleksandra M Walczak1

  • 1Laboratoire de Physique de l'École Normale supérieure, CNRS, PSL University, Sorbonne Université, and Université de Paris, Paris, France.

mAbs
|November 25, 2025
PubMed
概括
此摘要是机器生成的。

基于能源的生成模型优化单克隆抗体用于药物开发. 这种方法平衡了抗体亲和力,溶解性和人性,解决了抗体工程中的关键挑战.

关键词:
人工智能模型是AI模型.计算设计 计算设计多目标优化多目标优化

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Generation of Discriminative Human Monoclonal Antibodies from Rare Antigen-specific B Cells Circulating in Blood
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Generation of Recombinant Human IgG Monoclonal Antibodies from Immortalized Sorted B Cells
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Generation of Recombinant Human IgG Monoclonal Antibodies from Immortalized Sorted B Cells

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相关实验视频

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Generation of Murine Monoclonal Antibodies by Hybridoma Technology

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Generation of Discriminative Human Monoclonal Antibodies from Rare Antigen-specific B Cells Circulating in Blood
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科学领域:

  • 生物技术是生物技术.
  • 计算生物学 计算生物学
  • 药物发现 药物发现 药物发现

背景情况:

  • 抗体治疗药物对于治疗各种疾病至关重要,自1986年以来已批准了162种抗体治疗药物.
  • 抗体药物发现是复杂的,昂贵的,耗时的,需要广泛的优化.
  • 关键的优化目标包括增强目标亲和力和重要的生物物理性质,如溶解性和稳定性.

研究的目的:

  • 探索基于能源的生成模型,以优化单克隆抗体.
  • 解决抗体开发中的多优化挑战,重点关注亲和力,溶解性和人性.
  • 识别和导航这些关键抗体特性之间的权衡.

主要方法:

  • 基于能源的发电模型的开发和应用.
  • 优化候选单克隆抗体同时对多种特性进行优化.
  • 分析帕雷托前线,以确定亲和力,溶解性和人性之间的最佳权衡.

主要成果:

  • 生成模型成功地确定了在优化抗体特性方面的权衡.
  • 产生了候选抗体,这些抗体代表了帕雷托前线的最佳解决方案.
  • 证明了生成模型在抗体工程中用于药物开发的实用性.

结论:

  • 基于能源的生成模型提供了一种强大的方法来简化抗体优化.
  • 通过先进的计算方法,可以平衡诸如亲和力,溶解性和人性等多种属性.
  • 这种方法有可能加速开发更安全,更有效的抗体疗法.