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Novel glyoxalase-I inhibitors possessing a “zinc-binding feature” as potential anticancer agents

Overview of attention for article published in Drug Design, Development and Therapy, August 2016
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Title
Novel glyoxalase-I inhibitors possessing a “zinc-binding feature” as potential anticancer agents
Published in
Drug Design, Development and Therapy, August 2016
DOI 10.2147/dddt.s110997
Pubmed ID
Authors

Qosay A Al-Balas, Mohammad A Hassan, Nizar A Al-Shar’i, Nizar M Mhaidat, Ammar M Almaaytah, Fatima M Al-Mahasneh, Israa H Isawi

Abstract

The glyoxalase system including two thiol-dependent enzymes, glyoxalase I (Glo-I) and glyoxalase II, plays an important role in a ubiquitous metabolic pathway involved in cellular detoxification of cytotoxic 2-oxoaldehydes. Tumor cells have high glycolytic activity, leading to increased cellular levels of these toxic metabolites. The increased activity of the detoxification system in cancerous cells makes this pathway a viable target for developing novel anticancer agents. In this study, we examined the potential utility of non-glutathione-based inhibitors of the Glo-I enzyme as novel anticancer drugs. Computer-aided drug design techniques, such as customized pharmacophoric features, virtual screening, and flexible docking, were used to achieve the project goals. Retrieved hits were extensively filtered and subsequently docked into the active site of the enzyme. The biological activities of retrieved hits were assessed using an in vitro assay against Glo-I. Since Glo-I is a zinc metalloenzyme, a customized Zn-binding pharmacophoric feature was used to search for selective inhibitors via virtual screening of a small-molecule database. Seven hits were selected, purchased, and biologically evaluated. Three of the seven hits inhibited Glo-I activity, the most effective of which exerted 76.4% inhibition at a concentration of 25 µM. We successfully identified a potential Glo-I inhibitor that can serve as a lead compound for further optimization. Moreover, our in silico and experimental results were highly correlated. Hence, the docking protocol adopted in this study may be efficiently employed in future optimization steps.

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Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 13%
Student > Bachelor 3 13%
Student > Master 3 13%
Student > Ph. D. Student 3 13%
Professor > Associate Professor 2 9%
Other 2 9%
Unknown 7 30%
Readers by discipline Count As %
Chemistry 5 22%
Pharmacology, Toxicology and Pharmaceutical Science 4 17%
Biochemistry, Genetics and Molecular Biology 3 13%
Unspecified 1 4%
Neuroscience 1 4%
Other 1 4%
Unknown 8 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 August 2016.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Drug Design, Development and Therapy
#1,754
of 2,268 outputs
Outputs of similar age
#339,052
of 381,029 outputs
Outputs of similar age from Drug Design, Development and Therapy
#49
of 76 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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