Identification of potent urease inhibitors via ligand- and structure-based virtual screening and in vitro assays

被引:45
作者
Khan, Khalid M. [1 ]
Wadood, Abdul [2 ]
Ali, Muhammad [1 ]
Zia-Ullah [1 ]
Ul-Haq, Zaheer [2 ]
Lodhi, M. Arif [1 ]
Khan, Momin [1 ]
Perveen, Shahnaz
Choudhary, M. Iqbal [1 ]
机构
[1] Univ Karachi, HEJ Res Inst Chem, Int Ctr Chem & Biol Sci, Karachi 75270, Pakistan
[2] Univ Karachi, Panjwani Ctr Mol Med & Drug Res, Int Ctr Chem & Biol Sci, Karachi 75270, Pakistan
关键词
Virtual screening; 2-aminothiophene; Urease inhibition; Phytotoxicity; ACID MONOSODIUM SALT; ESTIMATE SOLUBILITY; GENETIC ALGORITHM; ANTIULCER AGENT; DRUG DISCOVERY; PERMEABILITY; INSIGHTS; ANALOGS;
D O I
10.1016/j.jmgm.2010.02.004
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
A pharmacophore model was developed based on three structurally diverse urease inhibitors by using the GASP program. This model comprises the positions and tolerance for two acceptor atoms (AA1 and AA2), one donor atom (DA1), and one hydrophobic center (HYP1). This derived phamacophore model was employed to screen an in-house database of organic compounds. Hits obtained were evaluated by molecular docking using GOLD software. On the basis of ligand- and structural-based predictions, an in vitro testing of short-listed compounds was conducted and a novel class of urease inhibitors (2-aminothiophines) was identified. The potent in vitro activity and selectivity of these compounds, along with their non-toxic nature against the plant cells indicated that they can serve as leads for solving urease-associated health and agriculture problems. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:792 / 798
页数:7
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