Literature DB >> 27148793

Synthesis and Biological Evaluation of 4-Anilino-quinazolines and -quinolines as Inhibitors of Breast Cancer Resistance Protein (ABCG2).

Michael K Krapf1, Michael Wiese1.   

Abstract

Chemotherapeutic treatment of cancer often fails due to overexpression of the ATP-binding cassette (ABC) transport proteins, like ABCG2, triggering active efflux of various structurally unrelated drugs. This so-called multidrug resistance (MDR) may be reversed by selective, potent, and nontoxic inhibitors of ABCG2. As only a few potent inhibitors are known, new compounds based on a 4-substituted-2-phenylquinazoline scaffold were investigated. Substitution with hydroxy, cyano, nitro, acetamido, and fluoro led to high inhibitory activities toward ABCG2. The ability to reverse MDR of the most active compounds was confirmed in a MTT efficacy assay. Moreover, a negligibly low intrinsic cytotoxicity was found resulting in a high therapeutic ratio. Investigations of the inhibitory activity toward ABCB1 and ABCC1 yielded a high selectivity toward ABCG2 for the quinazoline compounds. Quinoline-based analogues showed lower inhibitory activity and selectivity. The study yielded a variety of promising compounds, some with superior properties compared to those of the standard inhibitor Ko143.

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Year:  2016        PMID: 27148793     DOI: 10.1021/acs.jmedchem.6b00330

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  10 in total

1.  Development of Simple and Accurate in Silico Ligand-Based Models for Predicting ABCG2 Inhibition.

Authors:  Shuheng Huang; Yingjie Gao; Xuelian Zhang; Ji Lu; Jun Wei; Hu Mei; Juan Xing; Xianchao Pan
Journal:  Front Chem       Date:  2022-05-18       Impact factor: 5.545

2.  Side chain-functionalized aniline-derived ursolic acid derivatives as multidrug resistance reversers that block the nuclear factor-kappa B (NF-κB) pathway and cell proliferation.

Authors:  Ri-Zhen Huang; Shi-Xian Hua; Zhi-Xin Liao; Xiao-Chao Huang; Heng-Shan Wang
Journal:  Medchemcomm       Date:  2017-05-12       Impact factor: 3.597

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

Review 4.  Overcoming Multidrug Resistance: Flavonoid and Terpenoid Nitrogen-Containing Derivatives as ABC Transporter Modulators.

Authors:  Bruno M F Gonçalves; David S P Cardoso; Maria-José U Ferreira
Journal:  Molecules       Date:  2020-07-24       Impact factor: 4.411

5.  C@PA: Computer-Aided Pattern Analysis to Predict Multitarget ABC Transporter Inhibitors.

Authors:  Vigneshwaran Namasivayam; Katja Silbermann; Michael Wiese; Jens Pahnke; Sven Marcel Stefan
Journal:  J Med Chem       Date:  2021-03-16       Impact factor: 7.446

Review 6.  Recent advances in the search of BCRP- and dual P-gp/BCRP-based multidrug resistance modulators.

Authors:  Silvia Dei; Laura Braconi; Maria Novella Romanelli; Elisabetta Teodori
Journal:  Cancer Drug Resist       Date:  2019-09-19

7.  Binding mode analysis of ABCA7 for the prediction of novel Alzheimer's disease therapeutics.

Authors:  Vigneshwaran Namasivayam; Katja Stefan; Jens Pahnke; Sven Marcel Stefan
Journal:  Comput Struct Biotechnol J       Date:  2021-11-27       Impact factor: 7.271

8.  A curated binary pattern multitarget dataset of focused ATP-binding cassette transporter inhibitors.

Authors:  Sven Marcel Stefan; Patric Jan Jansson; Jens Pahnke; Vigneshwaran Namasivayam
Journal:  Sci Data       Date:  2022-07-26       Impact factor: 8.501

9.  Overcoming Multidrug Resistance (MDR): Design, Biological Evaluation and Molecular Modelling Studies of 2,4-Substituted Quinazoline Derivatives.

Authors:  Laura Braconi; Elisabetta Teodori; Marialessandra Contino; Chiara Riganti; Gianluca Bartolucci; Dina Manetti; Maria Novella Romanelli; Maria Grazia Perrone; Nicola Antonio Colabufo; Stefano Guglielmo; Silvia Dei
Journal:  ChemMedChem       Date:  2022-05-12       Impact factor: 3.540

10.  Scaffold fragmentation and substructure hopping reveal potential, robustness, and limits of computer-aided pattern analysis (C@PA).

Authors:  Vigneshwaran Namasivayam; Katja Silbermann; Jens Pahnke; Michael Wiese; Sven Marcel Stefan
Journal:  Comput Struct Biotechnol J       Date:  2021-05-10       Impact factor: 7.271

  10 in total

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