Triterpenoid saponins from the genus Camellia: structures, biological activities, and molecular simulation for structure–activity relationship

Chuanjian Cui; Jianfa Zong; Yue Sun; Liang Zhang; Chi-Tang Ho; Xiaochun Wan; Ruyan Hou

doi:10.1039/C8FO00755A

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Triterpenoid saponins from the genus Camellia: structures, biological activities, and molecular simulation for structure–activity relationship

Chuanjian Cui,†^a Jianfa Zong,†^a Yue Sun,^a Liang Zhang,

^a Chi-Tang Ho,^b Xiaochun Wan^a and Ruyan Hou

*^a

Author affiliations

* Corresponding authors

^a State Key Laboratory of Tea Plant Biology and Utilization; International Joint Laboratory on Tea Chemistry and Health Effects, School of Tea and Food Science & Technology, Anhui Agricultural University, Hefei, P. R. China
E-mail: hry@ahau.edu.cn

^b Rutgers University, Food Science Department, 65 Dudley Road, New Brunswick, NJ, USA 08901-8520

Abstract

This review summarizes the isolation, chemical identification, and biochemical activities of Camellia triterpenoid saponins, updating a previous review and encompassing all new studies through September 2017. Further, molecular simulations of the interaction between several known cytotoxic oleiferasaponin monomers and Interleukin-6 are discussed, demonstrating that molecular modeling is a convenient method to obtain structure–activity information.

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DOI: https://doi.org/10.1039/C8FO00755A
Article type: Review Article
Submitted: 19 Apr 2018
Accepted: 01 Jun 2018
First published: 04 Jun 2018

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Food Funct., 2018,9, 3069-3091

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Triterpenoid saponins from the genus Camellia: structures, biological activities, and molecular simulation for structure–activity relationship

C. Cui, J. Zong, Y. Sun, L. Zhang, C. Ho, X. Wan and R. Hou, Food Funct., 2018, 9, 3069 DOI: 10.1039/C8FO00755A

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Food & Function

Triterpenoid saponins from the genus Camellia: structures, biological activities, and molecular simulation for structure–activity relationship

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Triterpenoid saponins from the genus Camellia: structures, biological activities, and molecular simulation for structure–activity relationship

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