Publication Cover
Synthetic Communications
An International Journal for Rapid Communication of Synthetic Organic Chemistry
Volume 51, 2021 - Issue 1
204
Views
1
CrossRef citations to date
0
Altmetric
Articles

A straightforward synthesis of natural oxygenated ent-kaurenoic acid derivatives

, , ORCID Icon, , , , & show all
Pages 123-133 | Received 05 Aug 2020, Published online: 21 Sep 2020
 

Abstract

The paper presents the synthesis of some natural diterpenoids of ent-kauranic structure, starting from ent-kaur-16-en-19-oic acid, a natural diterpenoid readily available from the dried wastes of sunflower (Helianthus annuus L.). The reported ent-16α,17-dihydroxykauran-19-oic, ent-16α-hydroxy-17-acetoxykauran-19-oic and ent-16α,17-diacetoxykauran-19-oic acids have been previously isolated from different plant sources and showed diverse biological activities, including anti-HIV, anti-cancer and anti-Alzheimer properties. Their chemical synthesis has not been disclosed so far. Additional cytotoxicity studies of the obtained compounds revealed a remarkable cell proliferative effect of parent ent-kaur-16-en-19-oic acid and two of its synthetic derivatives, which is in line with recent pioneering studies in this area.

Graphical Abstract

Additional information

Funding

The financial support from National Agency for Research and Development (ANCD) of the Republic of Moldova [Project No 20.80009.8007.03] is gratefully acknowledged.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 422.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.