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药物目标,类级和PathFX路径信息共享实用程序用于机器学习预测常见药物诱导的副作用

Han Jie Liu1, Jennifer L Wilson1

  • 1Department of Bioengineering, University of California-Los Angeles, Los Angeles, CA, United States.

Frontiers in drug safety and regulation
|September 22, 2025
PubMed
概括

药物分类,特别是2级解剖治疗化学 (ATC) 代码,是预测药物诱导副作用的机器学习模型最具预测性特征. 药物目标和类别在预测不良事件方面比蛋白质相互作用网络更有影响力.

关键词:
域名知识分析 域名知识分析药物开发是药物的发展.药物安全 药物安全药物副作用预测 药物副作用预测药物目标是药物目标.机器学习 (ML) 是指机器学习.蛋白质与蛋白质相互作用 (PPI) 网络

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