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Updated: Feb 17, 2026

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KmPred:統合的な機械学習フレームワークを使用してマイケリス定数 (Km) の予測

Meshari Alazmi1

  • 1College of Computer Science and Engineering, University of Ha'il, Ha'il, Saudi Arabia.

Frontiers in artificial intelligence
|February 16, 2026
PubMed
まとめ

この研究では,酵素-基板親和 (Km) を予測するための機械学習フレームワークであるKmPredを紹介しています. KmPredは,タンパク質配列データを基質分子記述器と統合し,酵素運動モデリングのための伝統的なインビトロアッセイのより速い代替案を提供します.

キーワード:
KmPred でした.ミカエリス・メンテン定数 (Km)バイオインフォマティックスドラッグ・ディスカバリー・ドッグ・ディスカバリー (Drug Discovery) とはメタボリックエンジニアリング分子記述器は分子記述器です.タンパク質の埋め込みシステム生物学 システム生物学

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