Food Components

AFCDBProvider: University of Alberta
anti-HCoVMonticolo F., Palomba E., Santis R., Assentato L., Triscino V., Langella M. C., Lanzotti V., Chiusano M. L., anti-HCoV: A web resource to collect natural compounds against human coronaviruses. Trends in Food Science & Technology, 2020, 106, 1-11. Abstract
AODBDeng W., Chen Y., Sun X., Wang L., AODB: A comprehensive database for antioxidants including small molecules, peptides and proteins. Food Chemistry, 2023, 418, Article No 135992. Abstract
Carotenoids DatabaseYabuzaki J., Carotenoids Database: structures, chemical fingerprints and distribution among organisms. Database, 2017, Article No bax004. Abstract
CMAUPZeng X., Zhang P, Wang Y., Qin C., Chen S., He W., Tao L., Tan Y., Gao D., Wang B., Chen Z., Chen W., Jiang Y. Y., Chen Y. Z., CMAUP: a database of collective molecular activities of useful plants. Nucleic Acids Research, 2019, 47, D1118–D1127. Abstract
Codex Alimentarius 
Czech Food Composition DatabaseProvider: Institute of Agricultural Economics and Information
DFBPQin D., Bo W., Zheng X., Hao Y., Li B., Zheng J., Liang G., DFBP: a comprehensive database of food-derived bioactive peptides for peptidomics research. Bioinformatics, 2022, 38, 3275–3280. Abstract
DietRxGoel M., Bagler G., Computational gastronomy: A data science approach to food. Journal of Bioscience, 2022, 47, Article No 12. Abstract
DSLDProvider: National Institutes of Health
DTU FooddataProvider: Danish Technical University (DTU)
e-Baza izomerów transProvider: Instytut Żywności i Żywienia
Exposome-ExplorerNeveu V., Nicolas G., Salek R. M., Wishart D. S., Scalbert A., Exposome-Explorer 2.0: an update incorporating candidate dietary biomarkers and dietary associations with cancer risk. Nucleic Acids Research, 2020, 48, D908–D912. Abstract
FDA-FoodProvider: Food and Drug Administration
FEDADeckers M., Van Braeckel J., Vanneste K., Deforce D., Fraiture M.-A., Roosens N. H. C., Food Enzyme Database (FEDA): a web application gathering information about food enzyme preparations available on the European market. Database, 2021, Article No baab060. Abstract
FEMA GRASCohen S. M., Fukushima S., Gooderham J., Hecht S. S., Marnett L. J., Rietjens I. M. C. M., Smith R. L., Bastaki M., McGowen M. M., Harman C., Taylor S. V., GRAS flavor ingredients 27. Food Technology, 2015, 8, 42-59. Full text
FlavorDBGarg N., Sethupathy A., Tuwani R., Rakhi N. K., Dokania S., Iyer A., Gupta A., Agrawal S., Singh N., Shukla S., Kathuria K., Badhwar R., Kanji R., Jain A., Kaur A., Nagpal R., Bagler G., FlavorDB: a database of flavor molecules. Nucleic Acids Research, 2018, 46, D1210–D1216. Abstract
FOBI
FOBI visualization tool
Castellano-Escuder P., González-Domínguez R., Wishart D. S., Andrés-Lacueva C., Sánchez-Pla A., FOBI: an ontology to represent food intake data and associate it with metabolomic data. Database, 2020, Article No baaa033. Abstract
Food AdditivesProvider: European Commission
FooDBProvider: University of Alberta 
Food Flavor LaboratoryLiu Y., Li N., Li X., Qian W., Liu J., Su Q., Chen Y., Zhang B., Zhu B., Cheng J., A high-resolution Orbitrap mass spectral library for trace volatile compounds in fruit wines. Scientific Data, 2022, 9, Article No 496. Abstract
Food-Info.netProvider: University of Wageningen
foodMASSTWest K. A., Schmid R., Gauglitz J. M., Wang M., Dorrestein P. C., foodMASST a mass spectrometry search tool for foods and beverages. Science of Food, 2022, 6, Article No 22. Abstract
Food Metabolome RepositorySakurai N., Yamazaki S., Suda K., Hosoki A., Akimoto N., Takahashi H., Shibata D., Aoki Y., The Thing Metabolome Repository family (XMRs): comparable untargeted metabolome databases for analyzing sample-specific unknown metabolites. Nucleic Acids Research, 2023, 51, D660–D677. Abstract
FoodOnDooley D. D., Griffiths E. J., Gosal G. S., Buttigieg P. L., Hoehndorf R., Lange M. C., Schriml L. M., Brinkman F. S. L., Hsiao W. W. L., FoodOn: a harmonized food ontology to increase global food traceability, quality control and data integration. Science of Food, 2018, 2, Article No 23. Abstract
JECFAProvider: Food and Agriculture Organization of the United Nations
LangualTMProvider: Danish Food Informatics
MCDBForoutan A., Guo A. C., Vazquez-Fresno R., Lipfert M., Zhang L., Zheng J., Badran H., Budinski Z., Mandal R., Ametaj B. N., Wishart D. S., The chemical composition of cow’s milk. Journal of Agricultural and Food Chemistry, 2019, 67, 4897-4914. Abstract
NutriChemNi Y., Jensen K., Kouskoumvekaki I., Panagiotou G., NutriChem 2.0: exploring the effect of plant based foods on human health and drug efficacy. Database, 2017, Article No bax 044. Abstract
Nutrient Data LaboratoryHaytowitz D. B., Lemar L. E., Pehrsson P. R., USDA’s Nutrient Databank System – A tool for handling data from diverse sources. Journal of Food Composition and Analysis, 2009, 22, 433–441. Abstract
NutritionValue.Org 
OliveNetTMBonvino N. P., Liang J., McCord E. D., Zafiris E., Benetti N., Ray N. B., Hung A., Boskou D., Karagiannis T. C., OliveNetTM: a comprehensive library of compounds from Olea europaea. Database, 2018, Article No bay016. Abstract
OpenFoodToxDorne J. L., Richardson J., Kass G., Georgiadis N., Monguidi M., Pasinato L., Cappe S., Verhagen H., Robinson T., Editorial: OpenFoodTox: EFSA’s open source toxicological database on chemical hazards in food and feed. EFSA Journal, 2017, 15, Article No e15011. Abstract
PFPŻ dodatki do żywnościProvider: Polska Federacja Producentów Żywności
Phenol-ExplorerRothwell J. A., Pérez-Jiménez J., Neveu V., Medina-Ramon A., M’Hiri N., Garcia Lobato P., Manach C., Knox K., Eisner R., Wishart D., Scalbert A., Phenol-Explorer 3.0: a major update of the Phenol-Explorer database to incorporate data on the effects of food processing on polyphenol content. Database, 2013, Article No bat070. Abstract
PhytoHubProvider: Institut National de la Recherche Agronomique
RecipeDBBatra D., Diwan N., Upadhyay U., Kalra J. S., Sharma T., Sharma A. K., Khanna D., Marwah J. S., Kalathil S., Singh N., Tuwani R., Bagler G., RecipeDB: A resource for exploring recipes. Database, 2020, Article No baaa077. Abstract
SpiceRxGoel M., Bagler G., Computational gastronomy: A data science approach to food. Journal of Bioscience, 2022, 47, Article No 12. Abstract
TBC2healthZhang S., Xuan H., Zhang L., Fu S., Wang Y., Yang H., Tai Y., Song Y., Zhang J., Ho C. T., Li S., Wan X., TBC2health: a database of experimentally validated health-beneficial effects of tea bioactive compounds. Briefings in Bioinformatics, 2017, 18, 830-836. Abstract
TMDBYue Y., Chu G.-X., Liu X.-S., Tang X., Wang W., Liu G.-J., Yang T., Ling T.-J., Wang X.-G., Zhang Z.-Z., Xia T., Wan X.-C., Bao G.-H., TMDB: A literature-curated database for small molecular compounds found from tea. BMC Plant Biology, 2014, 14, Article No 243. Abstract
USDAProvider: U. S. Department of Agriculture
WHO Food SafetyProvider: World Health Organization

Last Updated on 18-04-2023 by Piotr Minkiewicz