Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Antibody Structure01:10

Antibody Structure

65.8K
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...
65.8K
Antigen Presenting Cells01:22

Antigen Presenting Cells

3.4K
The immune system is a complex network of cells and molecules that protects the body from foreign invaders. T cells, a type of white blood cell, play a crucial role in this process. They recognize and attack foreign substances, such as pathogens, that enter the body.
T cells require the help of antigen-presenting cells (APCs), which process foreign antigens into smaller fragments that can be recognized by T cells. These APCs are highly specialized cells that efficiently internalize antigens...
3.4K
Specific Heat01:16

Specific Heat

67.8K
The specific heat capacity of a substance refers to the energy required to increase the temperature of one gram of that substance by one degree Celcius. Specific heat capacity is often represented in calories (cal), grams (g), and degrees Celsius (oC), but can also be expressed in joules (J), kilograms (kg), and Kelvin (K), among other units.
For example, increasing the temperature of one gram of water by 1°C requires one calorie of heat energy and can be written as 1 cal/g-°C, or...
67.8K
Antibody Actions01:26

Antibody Actions

3.0K
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...
3.0K
Diversity of Antigen Receptors01:28

Diversity of Antigen Receptors

1.7K
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...
1.7K
Antigen Processing Pathways01:31

Antigen Processing Pathways

2.4K
MHC molecules are key players in the immune response, enabling T cells to recognize and respond to specific antigens. They are present on the surface of all nucleated cells in the body and are instrumental in presenting antigens to T cells and activating them. T cells recognize the MHC-antigen complex and initiate an immune response. MHC class I and MHC class II are two main types of MHC molecules, each associated with a distinct antigen processing pathway.
MHC Class I: Presenting Endogenous...
2.4K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Defective B cell tolerance in SLE lymph nodes underpins VH<sub>4-34</sub> "clonal damnation" and PD-1<sup>+</sup>TOX<sup>+</sup> autoreactive B cells expansion.

medRxiv : the preprint server for health sciences·2026
Same author

Familial Hyperaldosteronism Type IV (FH-IV)-Clinical Phenotypes, Genetics and Management of <i>CACNA1H</i>-Related Primary Aldosteronism: A Systematic Review.

Journal of clinical medicine·2026
Same author

Challenges and future directions of AIRR-seq-based diagnostics.

Immunoinformatics (Amsterdam, Netherlands)·2026
Same author

A glycan-based adjuvant expands the breadth and duration of protection of mRNA-based vaccines.

Nature immunology·2026
Same author

Benchmarking antigen-aware inverse folding methods for antibody design.

Bioinformatics advances·2026
Same author

Thermoregulation in Sleep Disorders-Comprehensive Review.

Journal of clinical medicine·2026
Same journal

Discovery and optimization of a pH-responsive ultra-long-acting VHH-based growth hormone mimetic.

mAbs·2026
Same journal

Efficient inference of non-polyreactive antibody variants dependent on local fine-tuning.

mAbs·2026
Same journal

Impact of ASO conjugation and receptor binding affinity on intracellular transport of mono- and bispecific TfR- and CD98-Brainshuttle<sup>TM</sup> variants.

mAbs·2026
Same journal

Development of single-chain C1q affinity chromatography-mass spectrometry for the glycoform-resolved characterization of low-affinity immunoglobulin G interactions.

mAbs·2026
Same journal

Biparatopic targeting of IL-23 enables dual-epitope engagement and enhanced neutralization potency.

mAbs·2026
Same journal

Comparison of knockdown approaches for the generation of stable cell populations expressing afucosylated antibodies.

mAbs·2026
関連記事をすべて見る

関連する実験動画

Updated: Feb 15, 2026

Antigenic Liposomes for Generation of Disease-specific Antibodies
10:31

Antigenic Liposomes for Generation of Disease-specific Antibodies

Published on: October 25, 2018

12.9K

ASD:抗原特異抗体データベース

Arkadiusz Czerwiński1, Paweł Dudzic1, Konrad Wójtowicz1

  • 1R&D Department, NaturalAntibody, Szczecin, Poland.

mAbs
|February 14, 2026
PubMed
まとめ
この要約は機械生成です。

研究者は,治療用抗体開発における課題に対処するために,抗原特異抗体データベース (ASD) を作成しました. この包括的なリソースは,集約データを用いて抗体-抗原相互作用と結合親和性を予測するのに役立ちます.

キーワード:
アンチボディのデザイン結びつきの親近さによる結合です.バイオインフォマティックスコンピュータ免疫学 コンピュータ免疫学データベース データベースのデータベースドラッグ・ディスカバリー・ドッグ・ディスカバリー (Drug Discovery) とは

さらに関連する動画

Immunization of Alpacas Lama pacos with Protein Antigens and Production of Antigen-specific Single Domain Antibodies
05:27

Immunization of Alpacas Lama pacos with Protein Antigens and Production of Antigen-specific Single Domain Antibodies

Published on: January 26, 2019

24.7K
Generation of Discriminative Human Monoclonal Antibodies from Rare Antigen-specific B Cells Circulating in Blood
13:14

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

Published on: February 6, 2018

11.0K

関連する実験動画

Last Updated: Feb 15, 2026

Antigenic Liposomes for Generation of Disease-specific Antibodies
10:31

Antigenic Liposomes for Generation of Disease-specific Antibodies

Published on: October 25, 2018

12.9K
Immunization of Alpacas Lama pacos with Protein Antigens and Production of Antigen-specific Single Domain Antibodies
05:27

Immunization of Alpacas Lama pacos with Protein Antigens and Production of Antigen-specific Single Domain Antibodies

Published on: January 26, 2019

24.7K
Generation of Discriminative Human Monoclonal Antibodies from Rare Antigen-specific B Cells Circulating in Blood
13:14

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

Published on: February 6, 2018

11.0K

科学分野:

  • バイオケミストリー バイオケミストリー
  • 免疫学 免疫学とは
  • バイオインフォマティックス

背景:

  • 治療用抗体のコンピューティングモデリングは,主に限られたデータと稀なデータのために,重要な課題に直面しています.
  • 抗体と抗原の相互作用と結合親和性を予測することは,抗体開発に不可欠ですが,データ不足によって妨げられます.

研究 の 目的:

  • 計算モデルの開発を支援するために,抗体-抗原相互作用の包括的なデータベースを開発する.
  • 様々な公共の情報源からの抗体-抗原相互作用データを集約し,標準化する.

主な方法:

  • 15の異なる情報源からの抗体-抗原相互作用データをまとめました.
  • すべての集約データに対する標準化されたフォーマットと注釈.
  • UniProt/PDB識別子,ターゲット名,実験条件を含む統合メタデータ.

主要な成果:

  • 抗原特異抗体データベース (ASD) を作成し,1,097,946個の抗体-抗原相互作用と9,575個の抗原を記録しました.
  • ASDには,さまざまな親和度測定,定性結合データ,および広範なメタデータが含まれています.
  • このデータベースは,抗体研究のための計算モデルの開発と検証のための基盤を提供します.

結論:

  • Antigen Specific Antibody Database (ASD) は,抗体研究のための貴重な,一般に利用可能なリソースである.
  • ASDは,抗体-抗原結合親和性を予測するための計算モデルの開発を容易にする.
  • この統合されたデータセットは,さらなるデータ生成と治療用抗体開発の進歩を促進します.