Combination of pharmacophore modeling and 3D-QSAR analysis of potential glyoxalase-I inhibitors as anticancer agents.
Comput Biol Chem
; 80: 102-110, 2019 Jun.
Article
em En
| MEDLINE
| ID: mdl-30947068
ABSTRACT
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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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Inibidores Enzimáticos
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Lactoilglutationa Liase
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Antineoplásicos
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
Comput Biol Chem
Ano de publicação:
2019
Tipo de documento:
Article