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RecipeDB:探索食谱的资源。

RecipeDB: a resource for exploring recipes.

机构信息

Complex Systems Laboratory, Center for Computational Biology, Indraprastha Institute of Information Technology (IIIT-Delhi), New Delhi, India 110020.

出版信息

Database (Oxford). 2020 Nov 25;2020. doi: 10.1093/database/baaa077.

DOI:10.1093/database/baaa077
PMID:33238002
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7687679/
Abstract

Cooking is the act of turning nature into the culture, which has enabled the advent of the omnivorous human diet. The cultural wisdom of processing raw ingredients into delicious dishes is embodied in their cuisines. Recipes thus are the cultural capsules that encode elaborate cooking protocols for evoking sensory satiation as well as providing nourishment. As we stand on the verge of an epidemic of diet-linked disorders, it is eminently important to investigate the culinary correlates of recipes to probe their association with sensory responses as well as consequences for nutrition and health. RecipeDB (https://cosylab.iiitd.edu.in/recipedb) is a structured compilation of recipes, ingredients and nutrition profiles interlinked with flavor profiles and health associations. The repertoire comprises of meticulous integration of 118 171 recipes from cuisines across the globe (6 continents, 26 geocultural regions and 74 countries), cooked using 268 processes (heat, cook, boil, simmer, bake, etc.), by blending over 20 262 diverse ingredients, which are further linked to their flavor molecules (FlavorDB), nutritional profiles (US Department of Agriculture) and empirical records of disease associations obtained from MEDLINE (DietRx). This resource is aimed at facilitating scientific explorations of the culinary space (recipe, ingredient, cooking processes/techniques, dietary styles, etc.) linked to taste (flavor profile) and health (nutrition and disease associations) attributes seeking for divergent applications. Database URL:  https://cosylab.iiitd.edu.in/recipedb.

摘要

烹饪是将自然转化为文化的行为,这使得杂食性人类饮食的出现成为可能。将原材料加工成美味菜肴的文化智慧体现在他们的菜肴中。因此,食谱是文化的胶囊,它为唤起感官满足以及提供营养编码了精心制作的烹饪方案。由于我们正处于与饮食相关的疾病流行的边缘,因此非常有必要研究食谱的烹饪相关性,以探究它们与感官反应以及对营养和健康的影响之间的关联。RecipeDB(https://cosylab.iiitd.edu.in/recipedb)是一个经过精心整理的食谱、食材和营养概况数据库,与风味概况和健康关联相互关联。这个曲目是通过对来自全球各地(6 个大陆、26 个地理文化区域和 74 个国家)的 118171 个食谱进行细致的整合而实现的,这些食谱使用了 268 种烹饪过程(加热、烹饪、煮沸、炖煮、烘焙等),混合了超过 20262 种不同的食材,这些食材进一步与它们的风味分子(FlavorDB)、营养概况(美国农业部)和从 MEDLINE(DietRx)获得的疾病关联的经验记录相关联。这个资源旨在促进对烹饪空间(食谱、食材、烹饪过程/技术、饮食风格等)与味道(风味概况)和健康(营养和疾病关联)属性的科学探索,寻找不同的应用。数据库网址:https://cosylab.iiitd.edu.in/recipedb。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9560/7687679/a467b1ca3215/baaa077f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9560/7687679/190ead5d759e/baaa077f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9560/7687679/a467b1ca3215/baaa077f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9560/7687679/190ead5d759e/baaa077f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9560/7687679/a467b1ca3215/baaa077f2.jpg

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本文引用的文献

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Cooking shapes the structure and function of the gut microbiome.烹饪塑造了肠道微生物组的结构和功能。
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BitterSweet: Building machine learning models for predicting the bitter and sweet taste of small molecules.苦甜交织:构建机器学习模型以预测小分子的苦甜味道
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