Literature DB >> 33199153

Water-soluble inhibitors of ABCG2 (BCRP) - A fragment-based and computational approach.

Frauke Antoni1, David Wifling2, Günther Bernhardt2.   

Abstract

A good balance between hydrophilicity and lipophilicity is a prerequisite for all bioactive compounds. If the hydrophilicity of a compound is low, its solubility in water will be meager. Many drug development failures have been attributed to poor aqueous solubility. ABCG2 inhibitors are especially prone to be insoluble since they have to address the extremely large and hydrophobic multidrug binding site in ABCG2. For instance, our previous, tariquidar-related ABCG2 inhibitor UR-MB108 (1) showed high potency (79 nM), but very low aqueous solubility (78 nM). To discover novel potent ABCG2 inhibitors with improved solubility we pursued a fragment-based approach. Substructures of 1 were optimized and the fragments 'enlarged' to obtain inhibitors, supported by molecular docking studies. Synthesis was achieved, i.a., via Sonogashira coupling, click chemistry and amide coupling. A kinetic solubility assay revealed that 1 and most novel inhibitors did not precipitate during the short time period of the applied biological assays. The solubility of the compounds in aqueous media at equilibrium was investigated in a thermodynamic solubility assay, where UR-Ant116 (40), UR-Ant121 (41), UR-Ant131 (48) and UR-Ant132 (49) excelled with solubilities between 1 μM and 1.5 μM - an up to 19-fold improvement compared to 1. Moreover, these novel N-phenyl-chromone-2-carboxamides inhibited ABCG2 in a Hoechst 33342 transport assay with potencies in the low three-digit nanomolar range, reversed MDR in cancer cells, were non-toxic and proved stable in blood plasma. All properties make them attractive candidates for in vitro assays requiring long-term incubation and in vivo studies, both needing sufficient solubility at equilibrium. 41 and 49 were highly ABCG2-selective, a precondition for developing PET tracers. The triple ABCB1/C1/G2 inhibitor 40 qualifies for potential therapeutic applications, given the concerted role of the three transporter subtypes at many tissue barriers, e.g. the BBB.
Copyright © 2020 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  ABCG2 transporter; BCRP; Hoechst 33342; Inhibitors; Rule of five; Water solubility

Mesh:

Substances:

Year:  2020        PMID: 33199153     DOI: 10.1016/j.ejmech.2020.112958

Source DB:  PubMed          Journal:  Eur J Med Chem        ISSN: 0223-5234            Impact factor:   6.514


  6 in total

1.  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 2.  Drug Transporters in the Kidney: Perspectives on Species Differences, Disease Status, and Molecular Docking.

Authors:  Wei Zou; Birui Shi; Ting Zeng; Yan Zhang; Baolin Huang; Bo Ouyang; Zheng Cai; Menghua Liu
Journal:  Front Pharmacol       Date:  2021-11-29       Impact factor: 5.810

3.  Structural feature-driven pattern analysis for multitarget modulator landscapes.

Authors:  Vigneshwaran Namasivayam; Katja Stefan; Katja Silbermann; Jens Pahnke; Michael Wiese; Sven Marcel Stefan
Journal:  Bioinformatics       Date:  2021-12-09       Impact factor: 6.937

4.  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

Review 5.  Two Important Anticancer Mechanisms of Natural and Synthetic Chalcones.

Authors:  Teodora Constantinescu; Alin Grig Mihis
Journal:  Int J Mol Sci       Date:  2022-09-30       Impact factor: 6.208

6.  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

  6 in total

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