Computational fragment-based drug design of potential Glo-I inhibitors

J Enzyme Inhib Med Chem. 2024 Dec;39(1):2301758. doi: 10.1080/14756366.2024.2301758. Epub 2024 Jan 22.

Abstract

In this study, a fragment-based drug design approach, particularly de novo drug design, was implemented utilising three different crystal structures in order to discover new privileged scaffolds against glyoxalase-I enzyme as anticancer agents. The fragments were evoluted to indicate potential inhibitors with high receptor affinities. The resulting compounds were served as a benchmark for choosing similar compounds from the ASINEX® database by applying different computational ligand-based drug design techniques. Afterwards, the selection of potential hits was further aided by various structure-based approaches. Then, 14 compounds were purchased, and tested in vitro against Glo-I enzyme. Of the tested 14 hits, the biological screening results showed humble activities where the percentage of Glo-I inhibition ranged from 0-18.70 %. Compound 19 and compound 28, whose percentage of inhibitions are 18.70 and 15.80%, respectively, can be considered as hits that need further optimisation in order to be converted into lead-like compounds.

Keywords: Glyoxalase-I; anti-cancer; de novo; fragment-based drug design.

MeSH terms

  • Databases, Factual
  • Drug Design*