Combined High Throughput Screening with QSAR Analysis Unravelling Potential Glyoxalase-I Inhibitors

Author(s): Mahmoud A. Al-Sha’er*, Qosay A. Al-Balas, Mohammad A. Hassan

Journal Name: Current Computer-Aided Drug Design

Volume 16 , Issue 6 , 2020


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Abstract:

Aims: Discovery of new Glo-I inhibitors as potential anticancer agents.

Background: Glyoxalase system is ubiquitous system in human cells which has been examined thoroughly for its role in cancerous diseases. It performs detoxifying endogenous harmful metabolites, mainly methylglyoxal (MG) into non-toxic bystanders.

Objective: Structure based model Hypo(2ZA0_2_02) combined with 3D-QSAR modeling were applied to predict glyoxalase I inhibition and to explain their activity.

Methods: Currently, high throughput screening approach was used to investigate the activity of inhouse database composed of 205 compounds.

Results: 15 compounds were found active as glyoxalase I inhibitors. The 15 candidates showed more than 50% inhibition with low micromolar IC50 ranges between 5.0 to 42.0 μM.

Conclusion: They have been successfully mapped and fitted the Hypo(2ZA0_2_02) model which explain the presence of anti-glyoxalase I activity. This model could be used in future for further development of new and novel glyoxylase I inhibitors.

Keywords: Human glyoxalase-I, metalloenzyme, anticancer, zinc-binding groups, methylglyoxal (MG), QSAR.

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Article Details

VOLUME: 16
ISSUE: 6
Year: 2020
Published on: 18 January, 2021
Page: [814 - 832]
Pages: 19
DOI: 10.2174/1573409916666200117100326
Price: $65

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