Literature DB >> 12773039

Three dimensional pharmacophore modeling of human CYP17 inhibitors. Potential agents for prostate cancer therapy.

Omoshile O Clement1, Clive M Freeman, Rolf W Hartmann, Venkatesh D Handratta, Tadas S Vasaitis, Angela M H Brodie, Vincent C O Njar.   

Abstract

We report here a molecular modeling investigation of steroidal and nonsteroidal inhibitors of human cytochrome P450 17alpha-hydroxylase-17,20-lyase (CYP17). Using the pharmacophore perception technique, we have generated common-feature pharmacophore model(s) to explain the putative binding requirements for two classes of human CYP17 inhibitors. Common chemical features in the steroid and nonsteroid human CYP17 enzyme inhibitors, as deduced by the Catalyst/HipHop program, are one to two hydrogen bond acceptors (HBAs) and three hydrophobic groups. For azole-steroidal ligands, the 3beta-OH group of ring A and the N-3 of the azole ring attached to ring D at C-17 act as hydrogen bond acceptors. A model that permits hydrogen bond interaction between the azole functionality on ring D and the enzyme is consistent with experimental deductions for type II CYP17 inhibitors where a sixth ligating atom interacts with Fe(II) of heme. In general, pharmacophore models derived for steroid and nonsteroidal compounds bear striking similarities to all azole sites mapping the HBA functionality and to three hydrophobic features describing the hydrophobic interactions between the ligands and the enzyme. Using the pharmacophore model derived for azole-steroidal inhibitors as a 3D search query against several 3D multiconformational Catalyst formatted databases, we identified several steroidal compounds with potential inhibition of this enzyme. Biological testing of some of these compounds show low to high inhibitory potency against the human CYP17 enzyme. This shows the potential of our pharmacophore model in identifying new and potent CYP17 inhibitors. Further refinement of the model is in progress with a view to identifying and optimizing new leads.

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Year:  2003        PMID: 12773039     DOI: 10.1021/jm020576u

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


  11 in total

1.  Arylisothiocyanato selective androgen receptor modulators (SARMs) for prostate cancer.

Authors:  Dong Jin Hwang; Jun Yang; Huiping Xu; Igor M Rakov; Michael L Mohler; James T Dalton; Duane D Miller
Journal:  Bioorg Med Chem       Date:  2006-07-07       Impact factor: 3.641

2.  First pharmacophore-based identification of androgen receptor down-regulating agents: discovery of potent anti-prostate cancer agents.

Authors:  Puranik Purushottamachar; Aakanksha Khandelwal; Pankaj Chopra; Neha Maheshwari; Lalji K Gediya; Tadas S Vasaitis; Robert D Bruno; Omoshile O Clement; Vincent C O Njar
Journal:  Bioorg Med Chem       Date:  2007-03-13       Impact factor: 3.641

Review 3.  Human cytochrome P450 enzymes 5-51 as targets of drugs and natural and environmental compounds: mechanisms, induction, and inhibition - toxic effects and benefits.

Authors:  Slobodan P Rendic; F Peter Guengerich
Journal:  Drug Metab Rev       Date:  2018-08       Impact factor: 4.518

4.  First chemical feature-based pharmacophore modeling of potent retinoidal retinoic acid metabolism blocking agents (RAMBAs): identification of novel RAMBA scaffolds.

Authors:  Puranik Purushottamachar; Jyoti B Patel; Lalji K Gediya; Omoshile O Clement; Vincent C O Njar
Journal:  Eur J Med Chem       Date:  2011-11-17       Impact factor: 6.514

5.  Characterization of beta3-adrenergic receptor: determination of pharmacophore and 3D QSAR model for beta3 adrenergic receptor agonism.

Authors:  Philip Prathipati; Anil K Saxena
Journal:  J Comput Aided Mol Des       Date:  2005-02       Impact factor: 3.686

6.  The discovery of potential acetylcholinesterase inhibitors: a combination of pharmacophore modeling, virtual screening, and molecular docking studies.

Authors:  Shin-Hua Lu; Josephine W Wu; Hsuan-Liang Liu; Jian-Hua Zhao; Kung-Tien Liu; Chih-Kuang Chuang; Hsin-Yi Lin; Wei-Bor Tsai; Yih Ho
Journal:  J Biomed Sci       Date:  2011-01-21       Impact factor: 8.410

7.  Galeterone and VNPT55 induce proteasomal degradation of AR/AR-V7, induce significant apoptosis via cytochrome c release and suppress growth of castration resistant prostate cancer xenografts in vivo.

Authors:  Andrew K Kwegyir-Afful; Senthilmurugan Ramalingam; Puranik Purushottamachar; Vidya P Ramamurthy; Vincent C O Njar
Journal:  Oncotarget       Date:  2015-09-29

8.  Classification of drug molecules considering their IC50 values using mixed-integer linear programming based hyper-boxes method.

Authors:  Pelin Armutlu; Muhittin E Ozdemir; Fadime Uney-Yuksektepe; I Halil Kavakli; Metin Turkay
Journal:  BMC Bioinformatics       Date:  2008-10-03       Impact factor: 3.169

9.  New compounds identified through in silico approaches reduce the α-synuclein expression by inhibiting prolyl oligopeptidase in vitro.

Authors:  Raj Kumar; Rohit Bavi; Min Gi Jo; Venkatesh Arulalapperumal; Ayoung Baek; Shailima Rampogu; Myeong Ok Kim; Keun Woo Lee
Journal:  Sci Rep       Date:  2017-09-07       Impact factor: 4.379

10.  Ligand-based pharmacophore model for the discovery of novel CXCR2 antagonists as anti-cancer metastatic agents.

Authors:  Jinxin Che; Zhilong Wang; Haichao Sheng; Feng Huang; Xiaowu Dong; Youhong Hu; Xin Xie; Yongzhou Hu
Journal:  R Soc Open Sci       Date:  2018-07-04       Impact factor: 2.963

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