Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Antibody Structure01:10

Antibody Structure

58.8K
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...
58.8K
Antibody Structure and Classes01:25

Antibody Structure and Classes

738
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.
738
Antibody Actions01:26

Antibody Actions

1.0K
Antibodies, or immunoglobulins, are critical players in the immune system's arsenal against invading pathogens. Produced by B cells and plasma cells, their primary role is to detect and bind to specific antigens, molecules found on the surface of pathogens like bacteria or viruses. Beyond antigen recognition, antibodies perform several vital functions that contribute to immune defense.
Neutralization
Antibodies can bind to pathogens, preventing them from infecting host cells. This process...
1.0K
Hybridoma Technology01:31

Hybridoma Technology

14.0K
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,...
14.0K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Analysis of monoclonal antibodies against the malaria invasion complex protein RIPR reveals the structural basis for synergistic antibody protection.

Immunity·2026
Same author

ANARCII enables alignment-free antigen receptor numbering using a generalised language model.

Communications biology·2026
Same author

iNOS modulates inflammatory responses in an NO-independent manner through direct interaction with IRG1 in mitochondria.

Nature metabolism·2026
Same author

Rational discovery of therapeutic PAK1 allosteric activators.

Cell·2026
Same author

Supervised learning of protein variant effects across large-scale mutagenesis datasets.

Protein science : a publication of the Protein Society·2026
Same author

Ginkgo Datapoints Antibody Developability Competition outcomes: limited model performance and a call for data standardization.

mAbs·2026

相关实验视频

Updated: May 30, 2025

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing
08:51

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

Published on: March 15, 2019

12.3K

挑战和妥协:通过深度学习预测未结合的抗体结构.

Alexander Greenshields-Watson1, Odysseas Vavourakis1, Fabian C Spoendlin1

  • 1Oxford Protein Informatics Group, Department of Statistics, University of Oxford, 24-29 St Giles', Oxford, OX1 3LB, United Kingdom.

Current opinion in structural biology
|January 25, 2025
PubMed
概括

了解未结合的治疗抗体对于药物开发至关重要. 新的结构预测方法和生成模型对改善未结合的抗体形式的模型,特别是具有挑战性的CDRH3循环,显示出希望.

更多相关视频

Author Spotlight: Advancing Biotherapeutic Mass Calculation by Introducing mAbScale, a Python-Based Desktop Application
04:24

Author Spotlight: Advancing Biotherapeutic Mass Calculation by Introducing mAbScale, a Python-Based Desktop Application

Published on: June 16, 2023

1.4K
Characterization of Glycoproteins with the Immunoglobulin Fold by X-Ray Crystallography and Biophysical Techniques
08:58

Characterization of Glycoproteins with the Immunoglobulin Fold by X-Ray Crystallography and Biophysical Techniques

Published on: July 5, 2018

12.6K

相关实验视频

Last Updated: May 30, 2025

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing
08:51

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

Published on: March 15, 2019

12.3K
Author Spotlight: Advancing Biotherapeutic Mass Calculation by Introducing mAbScale, a Python-Based Desktop Application
04:24

Author Spotlight: Advancing Biotherapeutic Mass Calculation by Introducing mAbScale, a Python-Based Desktop Application

Published on: June 16, 2023

1.4K
Characterization of Glycoproteins with the Immunoglobulin Fold by X-Ray Crystallography and Biophysical Techniques
08:58

Characterization of Glycoproteins with the Immunoglobulin Fold by X-Ray Crystallography and Biophysical Techniques

Published on: July 5, 2018

12.6K

科学领域:

  • 生物化学和结构生物学
  • 计算生物学和生物信息学
  • 免疫学和药物开发

背景情况:

  • 治疗性抗体通常在未结合的状态下处理,因此需要了解它们的自由结构才能有效发育.
  • 对未结合抗体,特别是CDRH3循环的准确建模是困难的,因为结构数据偏差有利于抗体-抗原复合体.
  • 这种数据不平衡给深度学习模型带来了挑战,可能会阻碍它们对未结合的抗体构造进行概括的能力.

研究的目的:

  • 突出未结合的抗体结构在优化抗体开发管道中的重要性.
  • 探索先进结构预测工具在理解未结合的抗体构造中的实用性.
  • 调查生成模型在解决当前抗体建模中的局限性方面的潜力.

主要方法:

  • 审查和讨论未结合抗体结构在开发管道中的重要性.
  • 探索当前一代抗体结构预测工具.
  • 评估构造异质性对结合动力学的影响.
  • 假设生成模型的应用用于未结合的抗体预测.

主要成果:

  • 目前的结构预测器为未结合的抗体构造提供了新的见解.
  • 合规异质性可能会显著影响抗体结合动力学.
  • 生成型模型为模拟未结合抗体的现有挑战提供了潜在的解决方案.

结论:

  • 准确的模拟未结合的抗体结构对于促进抗体的发展至关重要.
  • 需要对结构预测和生成模型进行进一步的研究,以改善未结合的抗体形式的表征.
  • 虽然抗体-抗原复合体预测至关重要,但不应忽视未结合形式建模的进展.