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

Protein-protein Interfaces02:04

Protein-protein Interfaces

12.5K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
12.5K
Protein Networks02:26

Protein Networks

4.0K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.0K
Protein-Protein Interfaces02:04

Protein-Protein Interfaces

3.8K
3.8K
Synthetic Biology02:55

Synthetic Biology

4.8K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
4.8K
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

2.6K
Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order...
2.6K
Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

2.2K
Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
2.2K

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

Virome-wide ubiquitin ligase discovery reveals diverse mechanisms of immune evasion.

Science (New York, N.Y.)·2026
Same author

Deep peptide recognition profiling decodes TCR specificity and enables disease-associated antigen discovery.

Nature biotechnology·2026
Same author

Predicting targeted- and immunotherapeutic response outcomes in melanoma with single-cell Raman spectroscopy and AI.

bioRxiv : the preprint server for biology·2026
Same author

Overcoming T cell tolerance to tumor self-antigens through catch-bond engineering.

Science (New York, N.Y.)·2026
Same author

Hybrid Computer Vision Model to Predict Lung Cancer in Diverse Populations.

JCO clinical cancer informatics·2026
Same author

Facile induction of immune tolerance by an interleukin-2-TGFβ surrogate agonist.

Nature·2026

関連する実験動画

Updated: Jul 21, 2025

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.3K

合成共進化と機械学習を用いて タンパク質とタンパク質の相互作用を設計する

Aerin Yang1, Kevin M Jude1,2, Ben Lai3

  • 1Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA.

Science (New York, N.Y.)
|July 27, 2023
PubMed
まとめ

科学者は合成共進化のプラットフォームを開発し タンパク質とタンパク質の相互作用を設計しました この方法は,バイオテクノロジーや合成生物学における応用のために,様々な相互作用するタンパク質のペアを生成します.

さらに関連する動画

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

1.9K
Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.1K

関連する実験動画

Last Updated: Jul 21, 2025

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.3K
Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

1.9K
Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.1K

科学分野:

  • 生物化学
  • 分子生物学
  • 合成生物学

背景:

  • 自然のタンパク質の相互作用は 時間の経過とともに進化します
  • この共同進化を 実験室で再現するのは 難しいことです
  • 分子認識の理解は タンパク質工学の鍵です

研究 の 目的:

  • タンパク質の共進化のための 合成プラットフォームを開発する
  • 合成タンパク質の分子認識を分析する
  • タンパク質のインタフェースの多様性を 計算手法で拡大する

主な方法:

  • 合成タンパク質の 共同進化のプラットフォームを作った
  • 大規模な図書館からマッチした相互作用するミューテインのペアを分離した.
  • 分子認識のシステムレベルの分析を行いました.
  • in silico 拡張のために,事前に訓練されたタンパク質言語モデルを使用した.

主要な成果:

  • 多様な Z ドメイン-アフィボディ ペアを成功裏に分離した.
  • 幅広い相互作用特性 (親和性,交叉反応性,直角性) を特徴付けている.
  • 広範囲にわたる共進化ネットワークを 捕まえた
  • 計算で再構築されたタンパク質のインターフェースを予測した.

結論:

  • 合成共進化のプラットフォームは タンパク質の相互作用の研究と工学を可能にします
  • このアプローチにより 調整可能な分子認識特性を持つタンパク質複合体が生成されます
  • 実験的および計算的方法の統合は,バイオテクノロジーのためのタンパク質設計を加速します.