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Updated: Jun 7, 2025

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Published on: February 23, 2024

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通过基于元学习的图形转换器探索冷启动场景上的药物向相互作用预测

Chengxin He1, Zhenjiang Zhao2, Xinye Wang2

  • 1School of Computer Science, Sichuan University, Chengdu 610065, China; College of Biomedical Engineering, Sichuan University, Chengdu 610065, China.

Methods (San Diego, Calif.)
|November 16, 2024
PubMed
概括

这项研究介绍了MGDTI,一种新的元学习图形转换器,用于解决药物向相互作用预测中的冷启动问题. MGDTI有效地预测了新药和目标的相互作用,但数据有限.

关键词:
寒冷的开始 开始冷药物向相互作用的预测和预测图表神经网络的神经网络图形变压器 图形变压器超级学习 (Meta-learning) 是一种学习方式.

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