Development of a new quantitative structure–activity relationship model for predicting Ames mutagenicity of food flavor chemicals using StarDrop™ auto-Modeller™

Development of a new quantitative structure–activity relationship model for predicting Ames mutagenicity of food flavor chemicals using StarDrop™ auto-Modeller™

Abstract Background Food flavors are relatively low molecular weight chemicals with unique odor-related functional groups that may also be associated with mutagenicity. These chemicals are often difficult to test for mutagenicity by the Ames test because of their low production and peculiar odor. Th...

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Bibliographic Details
Main Authors: Toshio Kasamatsu, Airi Kitazawa, Sumie Tajima, Masahiro Kaneko, Kei-ichi Sugiyama, Masami Yamada, Manabu Yasui, Kenichi Masumura, Katsuyoshi Horibata, Masamitsu Honma
Format: Article
Language:English
Published: BMC 2021-04-01
Series:Genes and Environment
Subjects:
Quantitative structure–activity relationship (QSAR)
Food flavors
Mutagenicity Ames test
StarDrop™ auto-Modeller™
Machine learning
Online Access:https://doi.org/10.1186/s41021-021-00182-6

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