EvoZymePro-Cat:タンパク質-リガンド認識型深層学習フレームワークによる酵素機能における変異効果予測
Ran Xu1, Xinkang Li1, Jianan Sui1
1Centre in Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macao 999078, China.
ACS synthetic biology
|December 21, 2025
まとめ
EvoZymePro-Cat(EZPro-Cat)は酵素変異体スクリーニングのための深層学習プラットフォームです。相対酵素活性を正確に予測し、酵素発見と指向性進化を改善します。
背景:
- 広大な配列空間と相互依存性のため、酵素設計は複雑です。
- 従来の予測方法では酵素変異体活性の予測は困難です。
- 生体触媒作用には、正確な酵素変異体スクリーニングが不可欠です。
結論:
- EvoZymePro-Cat(EZPro-Cat)は、酵素機能プロファイリングのためのメカニズム的かつ実用的なソリューションを提供します。
- このプラットフォームは、非常に効率的な酵素発見と指向性進化を促進します。
- ペア比較アプローチは、絶対活性予測における系統誤差を克服します。
- 統合されたマルチモーダル表現は、タンパク質内バリアント機能の理解を強化します。
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