Literature DB >> 19072235

Fast three dimensional pharmacophore virtual screening of new potent non-steroid aromatase inhibitors.

Marco A C Neves1, Teresa C P Dinis, Giorgio Colombo, M Luisa Sá e Melo.   

Abstract

Suppression of estrogen biosynthesis by aromatase inhibition is an effective approach for the treatment of hormone sensitive breast cancer. Third generation non-steroid aromatase inhibitors have shown important benefits in recent clinical trials with postmenopausal women. In this study we have developed a new ligand-based strategy combining important pharmacophoric and structural features according to the postulated aromatase binding mode, useful for the virtual screening of new potent non-steroid inhibitors. A small subset of promising drug candidates was identified from the large NCI database, and their antiaromatase activity was assessed on an in vitro biochemical assay with aromatase extracted from human term placenta. New potent aromatase inhibitors were discovered to be active in the low nanomolar range, and a common binding mode was proposed. These results confirm the potential of our methodology for a fast in silico high-throughput screening of potent non-steroid aromatase inhibitors.

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Year:  2009        PMID: 19072235     DOI: 10.1021/jm800945c

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


  7 in total

Review 1.  Software and resources for computational medicinal chemistry.

Authors:  Chenzhong Liao; Markus Sitzmann; Angelo Pugliese; Marc C Nicklaus
Journal:  Future Med Chem       Date:  2011-06       Impact factor: 3.808

2.  Insight into the binding interactions of CYP450 aromatase inhibitors with their target enzyme: a combined molecular docking and molecular dynamics study.

Authors:  Roberta Galeazzi; Luca Massaccesi
Journal:  J Mol Model       Date:  2011-06-18       Impact factor: 1.810

3.  Design, synthesis, and biological evaluation of resveratrol analogues as aromatase and quinone reductase 2 inhibitors for chemoprevention of cancer.

Authors:  Bin Sun; Juma Hoshino; Katie Jermihov; Laura Marler; John M Pezzuto; Andrew D Mesecar; Mark Cushman
Journal:  Bioorg Med Chem       Date:  2010-05-24       Impact factor: 3.641

4.  Dynamics-Based Discovery of Allosteric Inhibitors: Selection of New Ligands for the C-terminal Domain of Hsp90.

Authors:  Giulia Morra; Marco A C Neves; Christopher J Plescia; Shinji Tsustsumi; Len Neckers; Gennady Verkhivker; Dario C Altieri; Giorgio Colombo
Journal:  J Chem Theory Comput       Date:  2010-08-30       Impact factor: 6.006

5.  Molecular simulations of aromatase reveal new insights into the mechanism of ligand binding.

Authors:  Jiho Park; Luke Czapla; Rommie E Amaro
Journal:  J Chem Inf Model       Date:  2013-08-09       Impact factor: 4.956

6.  Binding mode of triazole derivatives as aromatase inhibitors based on docking, protein ligand interaction fingerprinting, and molecular dynamics simulation studies.

Authors:  Ayyub Mojaddami; Amirhossein Sakhteman; Masood Fereidoonnezhad; Zeinab Faghih; Atena Najdian; Soghra Khabnadideh; Hossein Sadeghpour; Zahra Rezaei
Journal:  Res Pharm Sci       Date:  2017-02

7.  Preclinical evaluation of exemestane as a novel chemotherapy for gastric cancer.

Authors:  Juan-Cheng Yang; Ning Chang; Deng-Chyang Wu; Wei-Chung Cheng; Wei-Min Chung; Wei-Chun Chang; Fu-Ju Lei; Chung-Jung Liu; I-Chen Wu; Hsueh-Chou Lai; Wen-Lung Ma
Journal:  J Cell Mol Med       Date:  2019-09-26       Impact factor: 5.310

  7 in total

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