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Updated: Jan 7, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
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Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

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通过混合图形神经网络对p53抑制剂药物向相互作用进行AI驱动的IC50预测

Walaa H El-Masry1,2, Samar Monem3,4, Nagy Ramadan Darwish5

  • 1Information Systems and Technology Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt. w.elmasry@fci-cu.edu.eg.

Journal of computer-aided molecular design
|December 24, 2025
PubMed
概括

一个新的混合药物向相互作用IC50 (HDTI-IC50) 模型使用图形卷积网络和图形注意网络来预测p53抑制剂的疗效. 这种人工智能驱动的方法通过准确预测针对p53蛋白的IC50值来增强药物发现.

关键词:
在这里,我们可以看到AIAIAI.深度学习是一种深度学习.药物-标药物相互作用这是GAT GAT的意思.全国CNN是什么意思混合动力模型 混合动力模型IC50 IC50 IC50 IC50 IC50 IC50 IC50 IC50 IC50 IC50 IC50 IC50 IC50可持续的发展 可持续的发展p53 抑制剂 抑制剂

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A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds13:34

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