FlavorDB: a database of flavor molecules

Area of Science:

• * Food Science and Chemistry
• * Sensory Science
• * Cheminformatics

Background:

• * Flavor perception arises from complex chemical interactions involving olfactory and gustatory sensations.
• * Flavor molecules from natural sources are crucial for taste and smell, impacting health and metabolism.
• * Historical reliance on natural flavor sources highlights the need for comprehensive data on these compounds.

Purpose of the Study:

• * To create a centralized repository, FlavorDB, for flavor molecules, their natural sources, properties, and sensory data.
• * To facilitate exploration and discovery of flavor molecules for applications in food, fragrances, and other industries.
• * To enable data-driven research for a deeper understanding of flavor mechanisms.

Main Methods:

• * Compilation of data on 25,595 flavor molecules, including their physicochemical properties and sensory responses.
• * Association of 2,254 flavor molecules with 936 natural ingredients across 34 categories.
• * Development of a user-friendly interface for querying and exploring the FlavorDB resource.

Main Results:

• * FlavorDB provides a comprehensive dataset of flavor molecules and their natural origins.
• * The database links specific molecules to ingredients, enabling detailed ingredient analysis.
• * The resource supports diverse applications, including identifying flavor-structure relationships and suggesting novel food pairings.

Conclusions:

• * FlavorDB serves as a valuable resource for researchers and industries working with flavor compounds.
• * The database facilitates the exploration of flavor molecule data for scientific inquiry and product development.
• * FlavorDB has the potential to advance the understanding of flavor science and its applications.