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Updated: Jun 27, 2025

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推进药物不良反应预测,使用深度化学语言模型进行药物安全性评估

Jinzhu Lin1, Yujie He1, Chengxiang Ru1

  • 1College of Chemistry, Sichuan University, Chengdu 610064, China.

International journal of molecular sciences
|April 27, 2024
PubMed
概括

这项研究介绍了MoLFormer-XL,这是一种用于预测药物不良反应 (ADRs) 的新AI模型. 它准确地预测了药物诱导的QT间隔延长,产性和狂肠分裂,改善了药物安全性评估.

关键词:
药物不良反应 药物不良反应深度化学语言模型深度学习是一种深度学习.药物安全评估药物安全评估结构性警报 结构性警报

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