A Chemometrics-driven Strategy for the Bioactivity Evaluation of Complex Multicomponent Systems and the Effective Selection of Bioactivity-predictive Chemical Combinations
Abstract Although understanding their chemical composition is vital for accurately predicting the bioactivity of multicomponent drugs, nutraceuticals, and foods, no analytical approach exists to easily predict the bioactivity of multicomponent systems from complex behaviors of multiple coexisting fa...
Guardado en:
Autores principales: | Yoshinori Fujimura, Chihiro Kawano, Ayaka Maeda-Murayama, Asako Nakamura, Akiko Koike-Miki, Daichi Yukihira, Eisuke Hayakawa, Takanori Ishii, Hirofumi Tachibana, Hiroyuki Wariishi, Daisuke Miura |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2017
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Materias: | |
Acceso en línea: | https://doaj.org/article/1df2176e02e6451f82180dd92065cfd9 |
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