(Join us Monday July 7 at 15 CET for a webinar Davide Ballabio and Christian Rojas on their interesting work on taste prediction.
The webinar can be found at https://www.youtube.com/watch?v=ZMfVM69hxm4
Computational models that predict the taste of molecular tastants based on their chemical structure and machine learning classifiers serve as powerful tools in the advancing field of foodinformatics. We will describe the development of ChemTastesDB, a database that includes curated information of 4075 molecular tastants. ChemTastesDB is distributed to the scientific community to expand the information of molecular tastants; it could assist the analysis of the relationships between molecular structure and taste, as well as in silico (QSAR/QSPR) studies for taste prediction.