期刊
COMPUTATIONAL BIOLOGY AND CHEMISTRY
卷 80, 期 -, 页码 102-110出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.compbiolchem.2019.03.011
关键词
Glyoxalase I inhibitors; Anticancer agents; Pharmacophore modeling; Docking; ROC analysis
资金
- deanship of Scientific Research at the Zarqa University [5-2016]
- deanship of scientific research at Jordan University of science and Technology [20170308]
Glyoxalase system is an ubiquitous system in human cells which has been examined thoroughly for its role in different diseases. It comprises two enzymes; Glyoxalase I (Glo-I) and Glyoxalase II (Glo-II) which perform detoxifying endogenous harmful metabolites, mainly methylglyoxal (MG) into non-toxic bystanders. In silico computer Aided Drug Design approaches were used and ninety two diverse pharmacophore models were generated from eighteen Glyoxalase I crystallographic complexes. Subsequent QSAR modeling followed by ROC evaluation identified a single pharmacophore model which was able to predict the expected Glyoxalase I inhibition. Screening of the National Cancer Institute (NCI) database using the optimal pharmacophore Hypo (3VW9) identified several promising hits. Thirty eight hits were successfully predicted then ordered and evaluated in vitro. Seven hits out of the thirty eight tested compounds showed more than 50% inhibition with low micromolar IC50.
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