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图表神经网络基因药物基因相互作用 Wnt/β-Catenin通路在骨形成中的作用
Pradeep Kumar Yadalam1, R Ramya2, Raghavendra Vamsi Anegundi1
1Department of Periodontics, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, IND.
Cureus
|October 7, 2024
概括
这项研究使用图形神经网络 (GNN) 来预测Wnt/β-catenin通路内的药物基因相互作用,这对于骨形成和治疗骨疾病至关重要.
科学领域:
- 生物化学 生物化学
- 计算生物学 计算生物学
- 基因组学就是基因组学.
背景情况:
- Wnt/β-catenin通路对于骨形成,重塑和骨平衡至关重要.
- 这种途径的失调与骨质疏松症和骨关节炎等骨疾病有关.
- 目前的调制策略涉及Wnt激动剂,抑制剂和小分子.
研究的目的:
- 使用图形神经网络 (GNN) 预测Wnt/β-catenin通路内的药物基因相互作用.
- 探索GNN在理解骨形成和相关疾病的药物基因关系方面的潜力.
主要方法:
- 使用Cytoscape进行注释和预处理的Wnt信号药物基因相互作用.
- 用GNN来表示数据,学习药物和基因节点之间的复杂关系.
- 用了一个Adam优化器,100个时代,0.001的学习率和GNN模型的损失.
主要成果:
- 构建的网络包括108个节点和134个边缘.
- 在预测药物基因相互作用方面,GNN模型实现了高精度,回忆,F1得分和准确性.
- 该模型对真正阳性结果具有很高的灵敏度,虚假阴性率较低.
结论:
- 一个GNN模型有效地预测了Wnt/β-catenin通路中的药物基因相互作用,其精度和准确性很高.
- 需要进一步的研究,以充分利用GNN来治疗骨相关疾病的治疗发展.
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