变异性自编码器用于发生性药物基因相互作用在牙周骨吸收
Pradeep Kumar Yadalam1, Ramya Ramadoss2, Raghavendra Vamsi Anegundi1
1Periodontics, Saveetha Dental College, Saveetha Institue of Medical and Technical Sciences (SIMATS) Saveetha University, Chennai, IND.
Cureus
|September 2, 2024
概括
这项研究使用变异性自编码器 (VAE) 来产生用于牙周骨再吸收的新型药物基因相互作用,识别了MMP14和HIF1A.等关键基因. VAE模型被证明是准确和可靠的,用于理解这些复杂的关系.
科学领域:
- 生物医学信息学 生物医学信息学
- 基因组学就是基因组学.
- 牙科研究 牙科研究
背景情况:
- 牙周骨的再吸收导致牙脱落和口腔功能受损.
- 它受到各种因素的影响,包括遗传学,吸烟和全身性疾病.
- 了解药物基因相互作用对于开发向疗法至关重要.
研究的目的:
- 通过使用变异性自编码器 (VAE) 调查牙周骨再吸收中药物基因相互作用的产生.
- 为了确定潜在的药物点,并预测骨再吸收的治疗效果.
主要方法:
- 使用Cytoscape和CytoHubba分析了一组骨吸收药物的数据集.
- 数据被准备用于矩阵表示,规范化,并分为训练,验证和测试集.
- 建立了一个编码器解码器网络,并使用VAE来生成和可视化药物基因相互作用.
主要成果:
- 发现的顶级枢纽基因包括矩阵金属蛋白酶 (MMP) 14,MMP 9,HIF1A,STAT1和MAPT.
- VAE模型以0.077.7的平均平方误差 (MSE) 实现了高精度.
- KL分歧为2.349,平均重建日志概率为-246,表明可靠的性能.
结论:
- 生成型变异编码模型准确可靠地代表了牙周骨再吸收中的复杂药物基因关系.
- 这种方法为识别骨再吸收的新疗法策略提供了洞察力.
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