一个统一的知识图,将食品经济学与化学疾病网络和风味配置文件联系起来
Fangzhou Li1,2,3, Jason Youn1,2,3, Kaichi Xie1,3
1Department of Computer Science, the University of California at Davis, Davis, CA, USA.
NPJ science of food
|January 20, 2026
概括
食品Atlas是一个新的知识图,将食物与化学物质,疾病和风味联系起来. 它有助于预测生物活性并通过理解饮食与分子联系来降低疾病风险.
科学领域:
- 营养科学 营养科学
- 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:
- 当前的营养科学缺乏连接饮食与分子组成和生物结果的机器可读地图.
- 整合有关食品,化学品和健康的各种数据来源是一项挑战.
研究的目的:
- 开发FoodAtlas,这是一个大规模的知识图表,用于绘制饮食到分子到生物效应的图.
- 为了实现与饮食相关的健康结果的预测建模.
主要方法:
- 使用96,981个来源追踪边缘构建了一个知识图,将食物,化学物质,疾病和风味联系起来.
- 使用基于变压器的文本挖掘管道从科学文献中提取食品化学协会.
- 来自多个数据库的综合数据,包括比较毒基因组学数据库,ChEMBL,FlavorDB和PubChem.
主要成果:
- 食品Atlas将1430种食物与3610种化学物质,2181种疾病和958种风味描述器联系起来.
- 提取了48,474个定量食品化学关联,F1得分为0.67.
- 图表嵌入确定了六个与不同的疾病风险轨迹相关的饮食模块.
- 一种生物活性预测剂与抗氧化剂试验有很强的相关性 (R2=0.52, ρ=0.72).
- 一个替代引擎显示,模拟的总疾病风险减少了11.9%.
结论:
- 食品Atlas为营养科学提供了一个全面的,机器可读的资源.
- 知识图显示了在预测生物活动和优化减轻疾病风险的饮食策略方面的实用实用性.
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