ChemTastesDB is a database that includes curated information of 2944 molecular tastants. ChemTastesDB constitutes a useful tool for the scientific community to expand the information of molecular tastants, which could assist in the analysis of the relationships between molecular structure and taste, as well as in silico (QSAR) studies for taste prediction by means of diverse machine learning approaches. Molecules are labelled in one of the five basic tastes (sweet, bitter, umami sour and salty), as well as to other classes related to non-basic tastes (tasteless, non-sweet, multitaste and miscellaneous). ChemTastesDB provides the following information for each molecule: name, PubChem CID, CAS registry number, canonical SMILES string, class taste and the reference to the scientific sources from where data were retrieved. Moreover, the molecular structure in the HyperChem (.hin) format of each chemical is provided. The database is freeware and may be used if proper reference is given to the authors. Preferably refer to the following paper: Rojas, C., Ballabio, D., Pacheco Sarmiento, K., Pacheco Jaramillo, E., Mendoza, M., & García, F. (2022). ChemTastesDB: A curated database of molecular tastants. Food Chemistry: Molecular Sciences, 4, 100090. https://doi.org/10.1016/j.fochms.2022.100090.

{"references": ["Rojas, C., Ballabio, D., Pacheco Sarmiento, K., Pacheco Jaramillo, E., Mendoza, M., & Garc\u00eda, F. (2022). ChemTastesDB: A curated database of molecular tastants. Food Chemistry: Molecular Sciences, 4, 100090."]}