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Updated: Sep 9, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

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ACtriplet: トリプレットの損失と予備訓練を統合することで,アクティビティ・クライフの予測のための改良されたディープ・ラーニングモデル

Xinxin Yu1, Yimeng Wang1, Long Chen1

  • 1Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China.

Journal of pharmaceutical analysis
|September 2, 2025
PubMed
まとめ

この研究では,薬剤発見におけるアクティビティ・クライフ (ACs) の予測を向上させる新しいディープ・ラーニング・モデルであるACtripletを紹介しています. ACtripletはトリプレットの損失と予備訓練を統合することで,分子最適化のための既存のデータの利用を向上させます.

キーワード:
アクティビティの崖ディープラーニング予備訓練トリプル損失

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