相关实验视频

Updated: Jan 11, 2026

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease
08:15

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease

Published on: May 10, 2024

905

基于人工智能的药物基因相互作用预测,调节紧结完整性:一个深度学习框架,突出多个治疗点

Varun Keskar1, Amrutha Shenoy1, Shreya Desai1

  • 1Department of Prosthodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Technical and Medical Sciences, Saveetha University, Chennai, Tamil Nadu, India.

Journal of oral biology and craniofacial research
|November 10, 2025
PubMed
概括

这项研究引入了一个AI框架来预测药物如何影响紧密的结点,这对屏障功能至关重要. 该模型准确地识别了潜在的候选药物,如Cimifugin,用于治疗与紧结扰乱相关的疾病.

关键词:
人工智能的人工智能是人工智能.计算机化药物发现.深度学习是一种深度学习.药物基因相互作用 药物基因相互作用神经网络的神经网络的神经网络预测建模的预测建模.紧密的结口是紧密的结口.

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