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 Organization01:24

Protein Organization

7.0K
Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence....
7.0K
Protein Folding01:22

Protein Folding

120.8K
Overview
120.8K
Protein and Protein Structure02:15

Protein and Protein Structure

81.2K
Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme...
81.2K
Protein Networks02:26

Protein Networks

4.1K
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,...
4.1K
Protein and Protein Structures02:15

Protein and Protein Structures

10.8K
10.8K
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

11.3K
Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
11.3K

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

Numerical investigation of localization in two-dimensional quasiperiodic mosaic lattice.

Journal of physics. Condensed matter : an Institute of Physics journal·2023
Same author

Determination Methods of the Risk Factors in Food Based on Nanozymes: A Review.

Biosensors·2023
Same author

Mid-infrared single photon detector with superconductor Mo<sub>0.8</sub>Si<sub>0.2</sub> nanowire.

Science bulletin·2023
Same author

Succulent-plant-like Ni-Co alloy efficient catalysts for direct borohydride fuel cells.

Dalton transactions (Cambridge, England : 2003)·2023
Same author

Age-level bias correction in brain age prediction.

NeuroImage. Clinical·2023
Same author

Plant Community Associates with Rare Rather than Abundant Fungal Taxa in Alpine Grassland Soils.

Applied and environmental microbiology·2023
Same journal

Peripheral B-cell receptor repertoire predicts immune-related adverse events following immune checkpoint inhibitor therapy in advanced renal cell carcinoma.

Scientific reports·2026
Same journal

Effects of black soldier fly (Hermetia illucens L.) larvae zoocompost on the mineral element content of blue honeysuckle berries.

Scientific reports·2026
Same journal

Investigation on absorption refrigeration performance of R1243zf with imidazolium ionic liquid as the working pairs.

Scientific reports·2026
Same journal

DeepTriage-CN: integrating clinical text with vital signs for emergency department admission prediction in an aging population.

Scientific reports·2026
Same journal

Gold nanoparticles as dual-action antiviral agents: disruption of SARS-CoV-2 viral envelopes and RNA integrity.

Scientific reports·2026
Same journal

Comparison of capillary microsampling and venous blood for multi-pathogen serosurveillance.

Scientific reports·2026
関連記事をすべて見る

関連する実験動画

Updated: Sep 9, 2025

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
05:08

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

333

タンパク質の二次構造を予測するために知識蒸留とニューラルネットワークを組み合わせる

Lufei Zhao1, Jingyi Li2, Biao Zhang3

  • 1Agricultural Science and Engineering School, Liaocheng University, Liaocheng, 252059, China.

Scientific reports
|August 31, 2025
PubMed
まとめ
この要約は機械生成です。

この研究は,タンパク質の二次構造を正確に予測する新しいディープラーニングモデルITBM-KDを紹介しています. この 進歩 は タンパク質 の 機能 を 理解 する に 役立ち,特に 資源 が 限られている 生物 医学 研究 に 応用 でき ます.

キーワード:
知識の蒸留タンパク質の二次構造の予測テンポラルコンヴォルションネットワーク

さらに関連する動画

A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

68.9K
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: Sep 9, 2025

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
05:08

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

333
A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

68.9K
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:

  • 計算生物学
  • 構造バイオインフォマティクス
  • プロテオミクスの機械学習

背景:

  • タンパク質の二次構造は3次元構造,機能,生物学的な役割に不可欠です.
  • 精密な二次構造の予測は,タンパク質の相互作用とメカニズムの理解を高める.
  • ディープラーニングモデルでは 複雑なシーケンスデータを処理して 予測の精度が向上します

研究 の 目的:

  • 強化されたタンパク質二次構造予測のためのITBM-KDモデルを開発し,評価する.
  • オクタペプチドとトリペプチドの予測精度を改善するために,組み合わせたディープラーニングアプローチを使用します.
  • タンパク質の構造-機能分析のための堅牢で一般化可能なモデルを提供すること.

主な方法:

  • 改善されたテンポラルコンヴォルションネットワーク (TCN),双方向リキュアントニューラルネットワーク (BiRNN) および多層感知器 (MLP) の統合.
  • ProtT5モデルで物理化学的性質のワンホットエンコーディング,ワードベクトル表現,知識蒸留を使用した.
  • モデルを古典的なデータセット (TS115,CB513) と大規模なPDBデータセット (15,078項目) で検証した.

主要な成果:

  • ITBM-KDモデルは複数のデータセットで優れたパフォーマンスを示しました.
  • オクタペプチドとトリペプチドの二次構造を予測する高精度を達成した.
  • 広範なタンパク質データでモデルの堅実性と一般化性が検証された.

結論:

  • ITBM-KDモデルは,タンパク質の二次構造の予測の精度を大幅に改善します.
  • タンパク質の構造と機能を理解する貴重なツールであり,特に資源の限られた環境では
  • タンパク質の相互作用とメカニズムについての洞察を提供することで,生物医学の研究を容易にする.