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Updated: Jul 15, 2025

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GPCNDTA:通过交叉注意网络预测药物标结合亲和力,并增强图形特征和药理

Li Zhang1, Chun-Chun Wang2, Yong Zhang1

  • 1School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, China.

Computers in biology and medicine
|October 3, 2023
PubMed
概括

这项研究介绍了GPCNDTA,这是一种用于预测药物标结合亲和力的新型计算模型. 通过整合图形神经网络,药理和交叉注意力机制来提高药物和蛋白质特征提取和相互作用建模,GPCNDTA提高了预测准确性.

关键词:
这是一种3C类蛋白酶.交叉注意力网络网络药物标结合亲和力 药物标结合亲和力药科类动物 (Pharmacophore) 是一种药科类动物.剩余的 CensNet 其他剩余的EW-GCN可以使用.

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