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Updated: Feb 13, 2026

Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection
11:56

Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection

Published on: October 25, 2013

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BiGraph-DTA: グラフコンボリューションネットワークによる肝臓保護剤の薬物標的相互作用を予測する

Arief Sartono1,2, Bambang Riyanto Trilaksono1, Sophi Damayanti3

  • 1School of Electrical Engineering and Informatics Institut Teknologi Bandung (ITB) Bandung Indonesia.

Quantitative biology (Beijing, China)
|February 12, 2026
PubMed
まとめ

薬物標的の親和性を予測することは,肝臓疾患の治療法を開発する上で極めて重要です. 新しいモデルであるBiGraph-DTAは,グラフとシーケンスのネットワークを組み合わせて,肝臓を保護する化合物を正確に識別し,薬物発見を加速します.

キーワード:
ビグラフ‐DTAドラッグ・ディスカバリー・ドッグ・ディスカバリー (Drug Discovery) とはドラッグ・ターゲット・アフィニティ・スコアの予測グラフコンボリューションネットワーク (GCN)肝臓保護剤は肝臓を保護する剤です.

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