Literature DB >> 18782670

CYP19 (aromatase): exploring the scaffold flexibility for novel selective inhibitors.

Sabrina Castellano1, Giorgio Stefancich, Rino Ragno, Katarzyna Schewe, Marisabella Santoriello, Antonia Caroli, Rolf W Hartmann, Gianluca Sbardella.   

Abstract

Several derivatives out of a series of antifungal agents exhibited a good inhibitory potency against aromatase as well as a fairly good selectivity toward CYP17, even if lacking H-bond accepting substituents. Their common structural feature is a flexible backbone that did not fit into previously reported CYP19 models. Thus, a ligand-based approach was exploited to develop a novel statistically robust, self-consistent and predictive 3D-QSAR model herein proposed as a helpful tool to design new aromatase inhibitors.

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Year:  2008        PMID: 18782670     DOI: 10.1016/j.bmc.2008.08.046

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  5 in total

1.  Docking and 3D-QSAR studies of diverse classes of human aromatase (CYP19) inhibitors.

Authors:  Partha Pratim Roy; Kunal Roy
Journal:  J Mol Model       Date:  2010-03-01       Impact factor: 1.810

2.  Vascular endothelial growth factor receptor-2 (VEGFR-2) inhibitors: development and validation of predictive 3-D QSAR models through extensive ligand- and structure-based approaches.

Authors:  Rino Ragno; Flavio Ballante; Adele Pirolli; Richard B Wickersham; Alexandros Patsilinakos; Stéphanie Hesse; Enrico Perspicace; Gilbert Kirsch
Journal:  J Comput Aided Mol Des       Date:  2015-07-21       Impact factor: 3.686

3.  Shu-Gan-Liang-Xue Decoction Simultaneously Down-regulates Expressions of Aromatase and Steroid Sulfatase in Estrogen Receptor Positive Breast Cancer Cells.

Authors:  Xue-Song Fu; Ping-Ping Li
Journal:  Chin J Cancer Res       Date:  2011-09       Impact factor: 5.087

4.  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

Review 5.  Towards understanding aromatase inhibitory activity via QSAR modeling.

Authors:  Watshara Shoombuatong; Nalini Schaduangrat; Chanin Nantasenamat
Journal:  EXCLI J       Date:  2018-07-20       Impact factor: 4.068

  5 in total

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