FlavorMiner: a machine learning platform for extracting molecular flavor profiles from structural data

FlavorMiner: a machine learning platform for extracting molecular flavor profiles from structural data

Abstract Flavor is the main factor driving consumers acceptance of food products. However, tracking the biochemistry of flavor is a formidable challenge due to the complexity of food composition. Current methodologies for linking individual molecules to flavor in foods and beverages are expensive an...

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Bibliographic Details
Main Authors: Fabio Herrera-Rocha, Miguel Fernández-Niño, Jorge Duitama, Mónica P. Cala, María José Chica, Ludger A. Wessjohann, Mehdi D. Davari, Andrés Fernando González Barrios
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Journal of Cheminformatics
Subjects:
Flavor chemistry
Molecular machine learning
Molecular representation
Deep learning
Cocoa
Online Access:https://doi.org/10.1186/s13321-024-00935-9
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https://doi.org/10.1186/s13321-024-00935-9

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