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Updated: Jun 19, 2025

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
07:51

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method

Published on: May 21, 2018

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BiRNN-DDI:一种基于双向循环神经网络和Graph2Seq表示的药物相互作用事件类型预测模型

GuiShen Wang1, Hui Feng1, Chen Cao2

  • 1School of Computer Science and Engineering, Changchun University of Technology, Changchun, China.

Journal of computational biology : a journal of computational molecular cell biology
|July 25, 2024
PubMed
概括

这项研究介绍了BiRNN-DDI,这是一种用于预测药物相互作用 (DDI) 事件类型的新型模型. BiRNN-DDI通过整合结构和上下文药物信息,准确地识别潜在的DDI,提高药物安全.

关键词:
高斯核的核心是高斯核.双向循环神经网络是一种双向循环神经网络.药物相互作用 药物相互作用药物相互作用事件类型预测 药物相互作用类型预测多式联运数据是多式联运数据.

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