预测天然产品与药物相互作用与知识图嵌入式
Sanya B Taneja1, Israel O Dilán-Pantojas1, Richard D Boyce1
1University of Pittsburgh, Pittsburgh, PA, USA.
概括
计算方法可以预测天然产品与药物相互作用 (NPDIs). 在生物医学知识图 (KG) 上,ComplEx模型在识别潜在的NPDI方面表现出卓越的性能.
科学领域:
- 药理学 药理学是指药理学的学科.
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 自然产品与药物相互作用 (NPDIs) 可以导致不良事件或降低药物的疗效.
- 了解NPDI机制对于患者安全至关重要.
- 自然产品是复杂的,通常表征不佳,需要先进的计算方法.
研究的目的:
- 评估知识图 (KG) 嵌入方法用于预测NPDIs的有效性.
- 使用生物医学KG识别潜在的NPDIs背后的机制.
主要方法:
- 使用了一个大规模的,异构的生物医学KG (NP-KG).
- 应用并比较了几种KG嵌入方法用于NPDI预测.
- 使用内在和外在指标评估模型性能.
主要成果:
- 在NPDI预测中,ComplEx KG嵌入模型显著超过了其他方法.
- 该研究表明,KG嵌入对于推进NPDI研究的有用性.
结论:
- 对于预测NPDIs,KG嵌入方法,特别是ComplEx非常有前途.
- 未来的研究将利用这些嵌入来发现新的NPDI机制.
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