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Updated: Jan 15, 2026

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人工智能驱动的药物发现使用上下文感知混合模型来优化药物向相互作用

Ajay Kumar1,2, Shashi Kant Gupta1,3, SeongKi Kim4

  • 1Lincoln University College, Petaling Jaya, Malaysia.

Scientific reports
|October 13, 2025
PubMed
概括

一个新的上下文感知混合殖民地优化后勤森林 (CA-HACO-LF) 模型通过准确预测药物向相互作用来改善药物发现. 这种人工智能方法增强了候选人选择,减少了制药研究中的成本和开发时间.

关键词:
人工智能驱动的推系统殖民地优化殖民地优化情境感知学习是一种学习方式.代数相似性 代数相似性药物发现 药物发现药物-目标药物相互作用选择功能选择功能选择.森林物流分类 森林物流分类模型性能 模型性能N-Grams 是一个数值.

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