FAPD: An Astringency Threshold and Astringency Type Prediction Database for Flavonoid Compounds Based on Machine Learning.

Guo, Tianyang; Pan, Fei; Cui, Zhiyong; Yang, Zichen; Chen, Qiong; Zhao, Lei; Song, Huanlu

Guo, Tianyang; Pan, Fei; Cui, Zhiyong; Yang, Zichen; Chen, Qiong; Zhao, Lei; Song, Huanlu.

Afiliação

Guo T; School of Food and Health, Beijing Technology and Business University, Beijing, 100048, China.
Pan F; School of Food and Health, Beijing Technology and Business University, Beijing, 100048, China.
Cui Z; Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing, 100093, China.
Yang Z; Department of Food Science and Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Chen Q; School of Food and Health, Beijing Technology and Business University, Beijing, 100048, China.
Zhao L; School of Food and Health, Beijing Technology and Business University, Beijing, 100048, China.
Song H; School of Food and Health, Beijing Technology and Business University, Beijing, 100048, China.

J Agric Food Chem ; 71(9): 4172-4183, 2023 Mar 08.

Article em En | MEDLINE | ID: mdl-36825752

Assuntos

Adstringentes; Flavonoides; Teorema de Bayes; Bases de Dados Factuais; Aprendizado de Máquina

Palavras-chave

astringency threshold; astringency type; flavonoid astringency prediction database (FAPD); flavonoid compounds; machine learning (ML)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Adstringentes / Flavonoides Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Agric Food Chem Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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