SMFF-DTA:使.

Xun Wang1,2, Zhijun Xia1,2, Runqiu Feng1,2

  • 1Qingdao Institute of Software, College of Computer Science and Technology, China University of Petroleum (East China), Changjiang West Road, Qingdao, 266580, Shandong, China.

BMC biology
|May 9, 2025
PubMed
概括

这项研究引入了一种新的顺序多特征融合方法 (SMFF-DTA),用于准确预测药物标结合亲缘关系. 通过高效地整合结构和属性数据,SMFF-DTA增强了药物发现,优于现有的方法.

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