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Journal of Asian Natural Products Research Volume 21, 2019 - Issue 6
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Articles

Three new triterpenoid saponins from Albizia julibrissin

Xu-Da Wang Department of Natural Medicines, School of Pharmaceutical Sciences, Peking University Health Science Center , Beijing100191, China
,
Qing-Hua Han Department of Natural Medicines, School of Pharmaceutical Sciences, Peking University Health Science Center , Beijing100191, China
,
Jun Zhang Department of Natural Medicines, School of Pharmaceutical Sciences, Peking University Health Science Center , Beijing100191, China
,
Qing-Ying Zhang Department of Natural Medicines, School of Pharmaceutical Sciences, Peking University Health Science Center , Beijing100191, China
,
Peng-Fei Tu Department of Natural Medicines, School of Pharmaceutical Sciences, Peking University Health Science Center , Beijing100191, China
&
Hong Liang Department of Natural Medicines, School of Pharmaceutical Sciences, Peking University Health Science Center , Beijing100191, ChinaCorrespondence[email protected]
Pages 535-541 | Received 29 Jan 2018, Accepted 02 May 2018, Published online: 14 May 2018

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Amir Ghavidel, Miklós Bak, Tamás Hofmann, Reza Hosseinpourpia, Viorica Vasilache & Ion Sandu. (2022) Comparison of chemical compositions in wood and bark of Persian silk tree (Albizia julibrissin Durazz.). Wood Material Science & Engineering 17:6, pages 759-770.
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Articles from other publishers (4)

Hanhe Liu, Yingyao Wu, Chan Li, Qingfa Tang & Yuan-Wei Zhang. (2022) Molecular docking and biochemical validation of (-)-syringaresinol-4-O-β-D-apiofuranosyl-(1→2)-β-D-glucopyranoside binding to an allosteric site in monoamine transporters. Frontiers in Pharmacology 13.
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Bishan Huang, Hanhe Liu, Yingyao Wu, Chan Li, Qingfa Tang & Yuan-Wei Zhang. (2022) Two Lignan Glycosides from Albizia julibrissin Durazz. Noncompetitively Inhibit Serotonin Transporter. Pharmaceuticals 15:3, pages 344.
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Dongyi Hu, Jiayu Gao, Xiao Yang & Ying Liang. (2021) Chinese Pharmacopoeia Revisited: A Review of Anti-Depression Herbal Sources. Natural Product Communications 16:12, pages 1934578X2110593.
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Saúl H. Martínez-Treviño, Víctor Uc-Cetina, María A. Fernández-Herrera & Gabriel Merino. (2020) Prediction of Natural Product Classes Using Machine Learning and 13 C NMR Spectroscopic Data . Journal of Chemical Information and Modeling 60:7, pages 3376-3386.
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