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Updated: May 16, 2025

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DDINet:基于多分子指纹特征和多头关注中心加权自编码器的药物相互作用预测网络

K Soni Sharmila1, Thanga Revathi S1, Pokkuluri Kiran Sree2

  • 1School of Computing, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu 603203, India.

Journal of bioinformatics and computational biology
|April 1, 2025
PubMed
概括

本研究介绍了DDINet,这是一个通过整合多个分子指纹和先进的深度学习来预测药物相互作用 (DDI) 的新型网络. DDINet显著提高了DDI预测的准确性,这对于药物发现和患者安全至关重要.

关键词:
扩展连接指纹指纹分子 ACCess 系统密钥多头注意力注意力多头注意力在PubChem的指纹.坦尼莫托系数的使用方法分子动力学指纹指纹

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