Food Components
| AFCDB | Provider: University of Alberta |
| AminoADB | Author: Beaven Manjengwa |
| anti-HCoV | Monticolo 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 |
| AODB | Deng 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 Database | Yabuzaki J., Carotenoids Database: structures, chemical fingerprints and distribution among organisms. Database, 2017, Article No bax004. Abstract |
| CMAUP | Zeng 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 Database | Provider: Institute of Agricultural Economics and Information |
| DDID | Hong Y., Xu H., Liu Y., Zhu S., Tian C., Chen G., Zhu F., Tao L., DDID: a comprehensive resource for visualization and analysis of diet–drug interactions. Briefings in Bioinformatics, 2024, 25, Article No bbae212. Abstract |
| DFBP | Qin 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 |
| DietRx | Goel M., Bagler G., Computational gastronomy: A data science approach to food. Journal of Bioscience, 2022, 47, Article No 12. Abstract |
| DSLD | Provider: National Institutes of Health |
| DTU Fooddata | Provider: Danish Technical University (DTU) |
| e-Baza izomerów trans | Provider: Instytut Żywności i Żywienia |
| Exposome-Explorer | Neveu 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-Food | Provider: Food and Drug Administration |
| FEDA | Deckers 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 GRAS | Cohen 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 |
| FlavorDB | Garg 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 Additives | Provider: European Commission |
| FooDB | Provider: University of Alberta |
| Food Flavor Laboratory | Liu 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.net | Provider: University of Wageningen |
| foodMASST | West 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 Repository | Sakurai 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 |
| FoodOn | Dooley 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 |
| JECFA | Provider: Food and Agriculture Organization of the United Nations |
| LangualTM | Provider: Danish Food Informatics |
| MCDB | Foroutan 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 |
| NutriChem | Ni 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 Laboratory | Haytowitz 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 | |
| OliveNetTM | Bonvino 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 |
| OpenFoodTox | Dorne 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 żywności | Provider: Polska Federacja Producentów Żywności |
| Phenol-Explorer | Rothwell 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 |
| PhytoHub | Provider: Institut National de la Recherche Agronomique |
| RecipeDB | Batra 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 |
| SpiceRx | Goel M., Bagler G., Computational gastronomy: A data science approach to food. Journal of Bioscience, 2022, 47, Article No 12. Abstract |
| TBC2health | Zhang 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 |
| TMDB | Yue 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 |
| USDA | Provider: U. S. Department of Agriculture |
| WHO Food Safety | Provider: World Health Organization |
Last Updated on 23-09-2024 by Piotr Minkiewicz