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相关概念视频

Antibody Structure01:10

Antibody Structure

58.9K
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...
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Affinity and Avidity01:41

Affinity and Avidity

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Antibody Structure and Classes01:25

Antibody Structure and Classes

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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.
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Cross-reactivity00:42

Cross-reactivity

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Humoral Immune Responses01:36

Humoral Immune Responses

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Diversity of Antigen Receptors01:28

Diversity of Antigen Receptors

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Antigen receptors are essential components of the immune system crucial in defending the body against foreign invaders. These receptors are present on the surface of B and T cells, enabling them to recognize antigens and mount an appropriate immune response.
Before encountering any antigen, lymphocytes express these receptors. On B cells, the antigen receptor is a membrane-bound antibody molecule called BCR; on T cells, it is a T cell receptor or TCR. B and T cell receptors are composed of two...
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相关实验视频

Updated: Jun 3, 2025

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing
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学习抗体超变性的语言.

Rohit Singh1, Chiho Im1, Yu Qiu2

  • 1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139.

Proceedings of the National Academy of Sciences of the United States of America
|January 10, 2025
PubMed
概括
此摘要是机器生成的。

抗体突变增强处理 (AbMAP) 增强了抗体设计的蛋白质语言模型. 这种框架改善了对抗体结合的预测,并使治疗抗体的发现更快.

关键词:
抗体建模 抗体模型蛋白质语言模型的模型转移学习转移学习

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Generation of Escape Variants of Neutralizing Influenza Virus Monoclonal Antibodies
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科学领域:

  • 计算生物学 计算生物学
  • 免疫学 免疫学 免疫学
  • 蛋白质工程是指蛋白质工程.

背景情况:

  • 通用蛋白语言模型 (PLMs) 与抗体超变区作斗争.
  • 抗体建模需要超越标准进化保护原则的专业方法.

研究的目的:

  • 开发一种转移学习框架,即抗体突变生成增强处理 (AbMAP),用于改进抗体建模.
  • 提高基础PLM用于抗体序列和结构分析的性能.

主要方法:

  • 微调基础PLM使用抗体结构和结合特异性数据.
  • 开发学习的特征表示,以预测抗体特性,如突变效应和帕拉托普识别.

主要成果:

  • AbMAP准确地预测了对抗原结合和帕拉托普识别的突变效应.
  • 实验验证显示,对SARS-CoV-2抗体的命中率为82%,结合亲和力增加了22倍.
  • 对免疫谱的分析显示,尽管有序列多样性,但结构和功能覆盖范围趋同.

结论:

  • AbMAP加速了抗体设计,建模和治疗发现.
  • 转移学习方法可以适应新的PLM进步.
  • AbMAP深化了对幽默免疫和B细胞受体谱的特征的理解.