1. Novel scaffold of natural compound eliciting sweet taste revealed by machine learning.
- Author
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Bouysset C, Belloir C, Antonczak S, Briand L, and Fiorucci S
- Subjects
- Humans, Receptors, G-Protein-Coupled agonists, Receptors, G-Protein-Coupled metabolism, Machine Learning, Sweetening Agents analysis, Taste physiology
- Abstract
Sugar replacement is still an active issue in the food industry. The use of structure-taste relationships remains one of the most rational strategy to expand the chemical space associated to sweet taste. A new machine learning model has been setup based on an update of the SweetenersDB and on open-source molecular features. It has been implemented on a freely accessible webserver. Cellular functional assays show that the sweet taste receptor is activated in vitro by a new scaffold of natural compounds identified by the in silico protocol. The newly identified sweetener belongs to the lignan chemical family and opens a new chemical space to explore., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier Ltd. All rights reserved.)
- Published
- 2020
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