Literature DB >> 25835358

Synthesis and ABCG2 inhibitory evaluation of 5-N-acetylardeemin derivatives.

Daigo Hayashi1, Naoki Tsukioka1, Yutaka Inoue1, Yoshiki Matsubayashi1, Toshimasa Iizuka1, Kazuhiro Higuchi2, Yoji Ikegami1, Tomomi Kawasaki3.   

Abstract

An efficient and versatile synthesis of 5-N-acetylardeemin (1a) and sixteen 2-, 3- and 13-substituted derivatives 1b-q was achieved through Ugi three-component reaction of 3,3a,8,8a-tetrahydropyrrolo[2,3-b]indole and cyclization/epimerization. Their inhibitory activity on the drug efflux of breast cancer resistance protein (ABCG2) was evaluated by flow cytometric analysis of accumulation of Hoechst 33342 stain in Flp-In-293/ABCG2 cells. Most of the derivatives exhibited a stronger ABCG2 inhibitory effect compared with natural product 1a. The derivative 1m with a 4-tolyl substituent at the C-13 position exhibited the most potent ABCG2 inhibition. This preliminary structure-activity relationship study indicates that an electron-rich aryl moiety as the 13-substituent is key to increasing the inhibitory activity.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ABCG2 modulator; Ardeemin; Multicomponent reaction; Multidrug resistance; Suzuki–Miyaura coupling

Mesh:

Substances:

Year:  2015        PMID: 25835358     DOI: 10.1016/j.bmc.2015.03.017

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  4 in total

1.  Stereodivergent access to all four stereoisomers of chiral tetrahydrobenzo[f][1,4]oxazepines, through highly diastereoselective multicomponent Ugi-Joullié reaction.

Authors:  Alessandro Pinna; Andrea Basso; Chiara Lambruschini; Lisa Moni; Renata Riva; Valeria Rocca; Luca Banfi
Journal:  RSC Adv       Date:  2020-01-03       Impact factor: 3.361

2.  Antitumor Activity of Quinazolinone Alkaloids Inspired by Marine Natural Products.

Authors:  Solida Long; Diana I S P Resende; Anake Kijjoa; Artur M S Silva; André Pina; Tamara Fernández-Marcelo; M Helena Vasconcelos; Emília Sousa; Madalena M M Pinto
Journal:  Mar Drugs       Date:  2018-07-31       Impact factor: 5.118

3.  ADMET evaluation in drug discovery. 20. Prediction of breast cancer resistance protein inhibition through machine learning.

Authors:  Dejun Jiang; Tailong Lei; Zhe Wang; Chao Shen; Dongsheng Cao; Tingjun Hou
Journal:  J Cheminform       Date:  2020-03-05       Impact factor: 5.514

4.  Using Jupyter Notebooks for re-training machine learning models.

Authors:  Aljoša Smajić; Melanie Grandits; Gerhard F Ecker
Journal:  J Cheminform       Date:  2022-08-13       Impact factor: 8.489

  4 in total

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