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関連する概念動画

Protein-protein Interfaces02:04

Protein-protein Interfaces

14.8K
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...
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Conserved Binding Sites01:49

Conserved Binding Sites

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Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
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Ligand Binding Sites02:40

Ligand Binding Sites

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Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
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Protein Networks02:26

Protein Networks

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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,...
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Ribosome Profiling02:24

Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
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関連する実験動画

Updated: Feb 21, 2026

Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions
10:52

Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions

Published on: September 28, 2017

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RNA結合タンパク質 (RBP) のモチーフ,文脈,結合偏好,相互作用を発見するための新しいNLPベースの方法とアルゴリズムです.

Shaimae I Elhajjajy1, Zhiping Weng2

  • 1University of Massachusetts Chan Medical School sielhajjajy@gmail.com.

RNA (New York, N.Y.)
|February 19, 2026
PubMed
まとめ

この研究は,モチーフの文脈を分析することによって,RNA結合タンパク質 (RBP) の結合特異性を予測するための新しい計算パイプラインを導入します. 新規のRBP相互作用とその規制機能を特定しています.

キーワード:
NLPでは,NLPは,NLPは,NLPは,NLPは,NLPは,NLPは,NLPはRBPの相互作用についてRNA結合タンパク質はRNAを結合するタンパク質です.

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Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins
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Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins

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Novel RNA-Binding Proteins Isolation by the RaPID Methodology
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Novel RNA-Binding Proteins Isolation by the RaPID Methodology

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関連する実験動画

Last Updated: Feb 21, 2026

Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions
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Sample Preparation for Mass Spectrometry-based Identification of RNA-binding Regions

Published on: September 28, 2017

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Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins
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Exploring Sequence Space to Identify Binding Sites for Regulatory RNA-Binding Proteins

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科学分野:

  • 分子生物学は分子生物学である.
  • バイオインフォマティックス
  • コンピュータ生物学 コンピュータ生物学

背景:

  • RNA結合タンパク質 (RBPs) はmRNA処理を調節するが,その結合特異性と相互作用は十分に理解されていない.
  • RBP結合を予測するための既存の計算方法には,解釈能力が欠け,モチーフの文脈とRBP-RBP相互作用を適切に扱うことができない.
  • RBP in vivo の結合に影響を与える文脈的要因を理解するために,解釈可能なモデルが必要である.

研究 の 目的:

  • RBPの結合特異性を予測するための新しい,解釈可能な計算パイプラインを開発する.
  • RBPの結合モチーフと文脈を特徴付け,新しいRBP-RBP相互作用とその規制的役割を特定する.

主な方法:

  • 自然言語処理 (NLP) ベースの方法を使用して,RNA配列をk-mersと隣接する領域に分解しました.
  • RBPのバインディング予測は,弱く監督された複数のインスタンスの学習問題として策定されました.
  • 予測の解釈可能性のために決定的モチーフ発見アルゴリズムが開発され,RBP-RBP相互作用を推論するために機能統合が使用されました.

主要な成果:

  • パイプラインは,既知のRBPモチーフを成功裏に再現し,その予測能力を検証しました.
  • 結合モチーフと文脈は,HepG2細胞の71のRBPとK562細胞の74のRBPで特徴づけられ,多くの新しい発見がありました.
  • 新しい協力的で競争力のあるRBP-RBPの相互作用パートナーが提案され,それらの規制機能に関する仮説が提出されました.

結論:

  • 開発された枠組みは,RBPの拘束的特異性決定因子を調査するための包括的なアプローチを提供します.
  • この発見は,RBPの結合パターン,相互作用,および規制機能の理解を深める.
  • この研究は,RNA生物学と遺伝子調節に関する将来の研究に貴重なツールを提供します.