Literature DB >> 24304387

Structure-activity relationships of chromone derivatives toward the mechanism of interaction with and inhibition of breast cancer resistance protein ABCG2.

Evelyn Winter1, Florine Lecerf-Schmidt, Gustavo Gozzi, Basile Peres, Mark Lightbody, Charlotte Gauthier, Csilla Ozvegy-Laczka, Gergely Szakacs, Balazs Sarkadi, Tânia B Creczynski-Pasa, Ahcène Boumendjel, Attilio Di Pietro.   

Abstract

We recently identified a chromone derivative, 5-(4-bromobenzyloxy)-2-(2-(5-methoxyindolyl)ethyl-1-carbonyl)-4H-chromen-4-one, named here as chromone 1, as a potent, selective, nontoxic, and nontransported inhibitor of ABCG2-mediated drug efflux (Valdameri et al. J. Med. Chem. 2012, 55, 966). We have now synthesized a series of 14 derivatives to study the structure-activity relationships controlling both drug efflux and ATPase activity of ABCG2 and to elucidate their molecular mechanism of interaction and inhibition. It was found that the 4-bromobenzyloxy substituent at position 5 and the methoxyindole are important for both inhibition of mitoxantrone efflux and inhibition of basal ATPase activity. Quite interestingly, methylation of the central amide nitrogen strongly altered the high affinity for ABCG2 and the complete inhibition of mitoxantrone efflux and coupled ATPase activity. These results allowed the identification of a critical central inhibitory moiety of chromones that has never been investigated previously in any series of inhibitors.

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Year:  2013        PMID: 24304387     DOI: 10.1021/jm401649j

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


  6 in total

1.  The linker region of breast cancer resistance protein ABCG2 is critical for coupling of ATP-dependent drug transport.

Authors:  S Macalou; R W Robey; G Jabor Gozzi; S Shukla; I Grosjean; T Hegedus; S V Ambudkar; S E Bates; A Di Pietro
Journal:  Cell Mol Life Sci       Date:  2015-12-26       Impact factor: 9.261

2.  Phenolic indeno[1,2-b]indoles as ABCG2-selective potent and non-toxic inhibitors stimulating basal ATPase activity.

Authors:  Gustavo Jabor Gozzi; Zouhair Bouaziz; Evelyn Winter; Nathalia Daflon-Yunes; Mylène Honorat; Nathalie Guragossian; Christelle Marminon; Glaucio Valdameri; Andre Bollacke; Jean Guillon; Noël Pinaud; Mathieu Marchivie; Silvia M Cadena; Joachim Jose; Marc Le Borgne; Attilio Di Pietro
Journal:  Drug Des Devel Ther       Date:  2015-07-03       Impact factor: 4.162

3.  MBL-II-141, a chromone derivative, enhances irinotecan (CPT-11) anticancer efficiency in ABCG2-positive xenografts.

Authors:  Léa Payen; Mylène Honorat; Jérôme Guitton; Charlotte Gauthier; Charlotte Bouard; Florine Lecerf-Schmidt; Basile Peres; Raphaël Terreux; Héloïse Gervot; Catherine Rioufol; Ahcène Boumendjel; Alain Puisieux; Attilio Di Pietro
Journal:  Oncotarget       Date:  2014-12-15

4.  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 5.  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

6.  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

  6 in total

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