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Ligand Binding and Linkage00:49

Ligand Binding and Linkage

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Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
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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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Protein Organization01:24

Protein Organization

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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.
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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.
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A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

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局所構造の埋め込みを用いたタンパク質機能部位の注釈

Alexander Derry1, Alp Tartici2, Russ B Altman1,2,3

  • 1Department of Biomedical Data Science, Stanford University, Stanford, CA 94305.

Proceedings of the National Academy of Sciences of the United States of America
|August 20, 2025
PubMed
まとめ
この要約は機械生成です。

タンパク質の機能を予測し 主要な残留物を特定する 新しい方法である PARSE (残留物固有の濃縮によるタンパク質注解) を開発しました このアプローチは,特に大規模タンパク質分析において,未知の機能を持つタンパク質を注釈するのに役立ちます.

キーワード:
説明性について機能的なサイト機械学習タンパク質の機能

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科学分野:

  • プロテオミクス
  • バイオ情報学
  • コンピュータ生物学

背景:

  • タンパク質のデータベースは急速に拡大しており,未知または曖昧な機能を持つ多くのタンパク質に繋がっています.
  • 現在の機械学習方法は タンパク質の全機能と 特定の残基を結びつけるのに苦労しています

研究 の 目的:

  • タンパク質の機能を予測し,残留レベルでの機能的部位を記述するための新しい知識に基づく方法であるPARSE (残留特異的濃縮によるタンパク質アノテーション) を導入する.
  • 特定の残留物と全体的な関数を関連付ける現在の方法の限界に対処する.

主な方法:

  • PARSEは,局所的なタンパク質構造環境を,統計的手法と組み合わせて,事前に訓練した組み込みを行います.
  • グローバル関数と残留レベルアノテーションの同時予測を実行します.
  • この方法は知識に基づいていて,監督されたトレーニングを必要とせず,稀な関数のワンショット予測を可能にします.

主要な成果:

  • 酵素触媒機能の予測では,PARSEは最先端の方法 (F1スコア ~85%) と比べても性能が優れている.
  • PARSEは,特定された機能の残留レベルを大幅に正確に記述します.
  • この方法は,アルファフォールド構造を用いた"ダークプロテオーム"からの細菌のメタロプロテアスを成功裏に予測し,配列とフォールドの分岐にもかかわらず,保存された触媒部位を明らかにした.

結論:

  • PARSEは,タンパク質の機能を記述し,機能的に重要な残留物を特定するための強力なツールを提供します.
  • ローカルな構造情報を活用し,監督されたトレーニングなしで動作する能力は,大規模なタンパク質データセットにおける機能発見のための新しい道を開きます.
  • この方法は,異なる配列と折りたたみを持つタンパク質でも,新しい機能を発見するための局所構造表現の有用性を示しています.