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

• Authors : Toshio Kasamatsu; Airi Kitazawa; Sumie Tajima

Subjects: Quantitative structure–activity relationship (QSAR); Food flavors; Mutagenicity Ames test

• Source: Genes and Environment, Vol 43, Iss 1, Pp 1-17 (2021)

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

• Authors : Kasamatsu, Toshio; Kitazawa, Airi; Tajima, Sumie

Subjects: STRUCTURE-activity relationships; AMES test; QSAR modelsAMES (Iowa)

• Source: Genes & Environment; 4/30/2021, Vol. 43 Issue 1, p1-17, 17p

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Additional file 1 of Development of a new quantitative structure–activity relationship model for predicting Ames mutagenicity of food flavor chemicals using StarDrop™ auto-Modeller™

• Authors : Toshio Kasamatsu (3420611); Airi Kitazawa (9710923); Sumie Tajima (10732518)

Subjects: Biochemistry; Genetics; Neuroscience

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Artificial Q-Grader: Machine Learning-Enabled Intelligent Olfactory and Gustatory Sensing System.

• Authors : Jang M; Thin Film Materials Research Center, Korea Research Institute of Chemical Technology, Daejeon, 34114, Republic of Korea.; National Nano Fab Center (NNFC), Daejeon, 34141, Republic of Korea.

Subjects: Machine Learning* ; Electronic Nose*; Humans

• Source: Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2024 Jun; Vol. 11 (23), pp. e2308976. Date of Electronic Publication: 2024 Apr 06.Publisher: WILEY-VCH Country of Publication: Germany NLM ID: 101664569 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2198-3844

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