PrediSweet lets you predict the sweetness of a molecule based on its structure.
Each molecule is first converted to a set of descriptors. Then a machine-learning model predicts the sweetness (in logarithmic scale) based on these molecular features. Finally, the quality of the prediction is assessed based on 3 metrics. More details can be found in the Help section
If you have used PrediSweet in a scientific publication, please cite the following paper:
C. Bouysset, C. Belloir, S. Antonczak, L. Briand, S. Fiorucci, Novel scaffold of natural compound eliciting sweet taste revealed by machine learning. Food Chem. (2020). DOI: 10.1016/j.foodchem.2020.126864
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