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      Four new corynanthe-type alkaloids from the roots of Alstonia scholaris

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          Abstract

          Four new corynanthe-type alkaloids, meloslines C–F ( 14), together with four known ones ( 58) were isolated from the roots of Alstonia scholaris. Their structures including absolute configurations were elucidated by extensive spectroscopic analysis and electronic circular dichroism (ECD) calculation. Compounds 1 and 2 exhibited potent vasorelaxant activity on endothelium-intact renal arteries precontracted with KCl.

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          Author and article information

          Journal
          CJNM
          Chinese Journal of Natural Medicines
          Elsevier BV
          1875-5364
          20 December 2019
          : 17
          : 12
          : 918-923
          Affiliations
          1 Institute of Traditional Chinese Medicine & Natural Products, and Guangdong Provincial Engineering Research Center for Modernization of TCM, College of Pharmacy, Jinan University, Guangzhou 510632, China
          2 Chinese Patent Medicine Department, Guangdong Institute for Drug Control, Guangzhou 510663, China
          Author notes
          *Corresponding author: ZHANG Xiao-Qi, Tel: 20-85223994, E-mails: xqzhang74@ 123456hotmail.com ; YE Wen-Cai, chywc@ 123456aliyun.com

          Δ These authors contributed equally to this work.

          These authors have no conflict of interest to declare.

          Dedicated to Professor SUN Han-Dong on the Occasion of His 80th Birthday

          Article
          S1875-5364(19)30113-X
          10.1016/S1875-5364(19)30113-X
          Copyright © 2019 China Pharmaceutical University. Published by Elsevier B.V. All rights reserved.
          Funding
          Funded by: National Key R&D Program of China
          Award ID: 2017YFC1703802
          Funded by: National Natural Science Foundation of China
          Award ID: U1801287
          Funded by: National Natural Science Foundation of China
          Award ID: 81630095
          Funded by: National Natural Science Foundation of China
          Award ID: 81803398
          Funded by: Science and Technology Planning Project of Guangdong Province
          Award ID: 2018B020207008
          Funded by: High-performance Super Computing Platform of Jinan University
          Award ID:
          This work was supported by the National Key R&D Program of China (No. 2017YFC1703802), the National Natural Science Foundation of China (Nos. U1801287, 81630095, and 81803398), the Science and Technology Planning Project of Guangdong Province (No. 2018B020207008), the High-performance Super Computing Platform of Jinan University.
          Categories
          Research article

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