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KNUTS-DB - a data-driven knowledge database for NUTS

delete2025-04-29
delete0
PRE
AI
E
Emanuel Kemmler *
M
Margitta Worm
R
Robert Preißner *
P
Priyanka Banerjee *
DOI：10.1080/15376516.2025.2496752delete
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摘要

摘要

En 中文
目标：需要包含多成分食品中营养物质和过敏原信息的数据库，以准确探究食品消费对健康结果的影响。树坚果中发现的植物化学物质与抗氧化、抗炎、抗增殖、抗病毒、化学预防和降胆固醇作用相关联，这些作用均已知会影响多种病理过程的启动和发展。我们开发了KNUTS-DB——一个面向坚果的数据驱动知识库，其中包含花生和树坚果的化学营养成分、分子靶点、通路、疾病关联以及临床定义的食物过敏原属性等信息。 方法：该数据库包含关于杏仁、腰果、山核桃、核桃、开心果、花生和核桃的丰富且多样化的元数据集。此外，该数据库允许用户对自定义的化学营养成分进行通路和GO-Term富集分析。分析结果通过热图和网络图展示。 结果：该数据库可通过相似性搜索、相互作用值、过敏原类型和特定坚果类型等选项进行检索。KNUTS-DB为研究人员提供了一个独特平台，用于探索坚果的化学成分及研究坚果成分与健康结果的关联——从而深入揭示分子机制。 结论：KNUTS-DB作为同类首例，对所有用户免费开放，可通过https://allergypred.charite.de/KNutsDB/访问，无需登录或注册。
Keyword:
Nuts allergy
food allergy
knowledge-graph
database
nutrients
proteins database

期刊

Toxicology Mechanisms and Methods 封面图
Toxicology Mechanisms and Methods
IF:
2.7
论文数:
230
被引数:
2.7K

机构

B
b member of the kfo339, food@
学者数:
1
论文数: 1
被引数: 0
C
charité – university medicine berlin
学者数:
12
论文数: 7
被引数: 1
引用论文

引用论文

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