Literature DB >> 24771145

Structure-based design, synthesis and biological evaluation of β-glucuronidase inhibitors.

Khalid M Khan1, Nida Ambreen, Muhammad Taha, Sobia A Halim, Shagufta Naureen, Saima Rasheed, Shahnaz Perveen, Sajjad Ali, Mohammad Iqbal Choudhary.   

Abstract

Using structure-based virtual screening approach, a coumarin derivative (1) was identified as β-glucuronidase inhibitor. A focused library of coumarin derivatives was synthesized by eco-benign version of chemical reaction, and all synthetic compounds were characterized by using spectroscopy. These compounds were found to be inhibitor of β-glucuronidase with IC50 values in a micromolar range. All synthetic compounds exhibited interesting inhibitory activity against β-glucuronidase, however, their potency varied substantially from IC50 = 9.9-352.6 µM. Of twenty-one compounds, four exhibited a better inhibitory profile than the initial hit 1. Interestingly, compounds 1e, 1k, 1n and 1p exhibited more potency than the standard inhibitor with IC50 values 34.2, 21.4, 11.7, and 9.9 µM, respectively. We further studied their dose responses and also checked our results by using detergent Triton ×-100. We found that our results are true and not affected by detergent.

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Year:  2014        PMID: 24771145     DOI: 10.1007/s10822-014-9745-z

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  35 in total

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  3 in total

Review 1.  Therapeutic significance of β-glucuronidase activity and its inhibitors: A review.

Authors:  Paul Awolade; Nosipho Cele; Nagaraju Kerru; Lalitha Gummidi; Ebenezer Oluwakemi; Parvesh Singh
Journal:  Eur J Med Chem       Date:  2019-12-04       Impact factor: 6.514

2.  Exploiting activity cliffs for building pharmacophore models and comparison with other pharmacophore generation methods: sphingosine kinase 1 as case study.

Authors:  Lubabah A Mousa; Ma'mon M Hatmal; Mutasem Taha
Journal:  J Comput Aided Mol Des       Date:  2022-01-21       Impact factor: 3.686

3.  3D structure prediction of human β1-adrenergic receptor via threading-based homology modeling for implications in structure-based drug designing.

Authors:  Zaheer Ul-Haq; Maria Saeed; Sobia Ahsan Halim; Waqasuddin Khan
Journal:  PLoS One       Date:  2015-04-10       Impact factor: 3.240

  3 in total

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