関連する実験動画

Updated: Feb 14, 2026

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

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人工知能によって予測されたGH11キシラナーゼモデルの評価と,これまで報告されていない実験構造の比較:形状的精度とリガンド結合への影響

Ki Hyun Nam1

  • 1College of General Education, Kookmin University, Seoul 02707, Republic of Korea.

International journal of molecular sciences
|February 13, 2026
PubMed
まとめ

人工知能が予測したタンパク質構造を実験データと比較することは不可欠です. この研究では,親指領域と基板結合裂縫の変異が発見され,分子機構の理解に影響を与え,AIモデルアプリケーションを導くことができました.

キーワード:
アルファフォールド フォールドESMFは,ESMFの2つに分かれています.GH11 GH11 についてローズTTAFold ローズTTAフォールド人工知能 (AI) とは,人工知能 (AI) に関するタンパク質構造 タンパク質構造キシランアゼ (Xylanase) とは

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