Dual-targeted hit identification using pharmacophore screening

  • Galyna P. Volynets
  • , Sergiy A. Starosyla
  • , Mariia Yu Rybak
  • , Volodymyr G. Bdzhola
  • , Oksana P. Kovalenko
  • , Vasyl S. Vdovin
  • , Sergiy M. Yarmoluk
  • , Michail A. Tukalo

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Mycobacterium tuberculosis infection remains a major cause of global morbidity and mortality due to the increase of antibiotics resistance. Dual/multi-target drug discovery is a promising approach to overcome bacterial resistance. In this study, we built ligand-based pharmacophore models and performed pharmacophore screening in order to identify hit compounds targeting simultaneously two enzymes—M. tuberculosis leucyl-tRNA synthetase (LeuRS) and methionyl-tRNA synthetase (MetRS). In vitro aminoacylation assay revealed five compounds from different chemical classes inhibiting both enzymes. Among them the most active compound—3-(3-chloro-4-methoxy-phenyl)-5-[3-(4-fluoro-phenyl)-[1,2,4]oxadiazol-5-yl]-3H-[1,2,3]triazol-4-ylamine (1) inhibits mycobacterial LeuRS and MetRS with IC50 values of 13 µM and 13.8 µM, respectively. Molecular modeling study indicated that compound 1 has similar binding mode with the active sites of both aminoacyl-tRNA synthetases and can be valuable compound for further chemical optimization in order to find promising antituberculosis agents.

Original languageEnglish (US)
Pages (from-to)955-964
Number of pages10
JournalJournal of Computer-Aided Molecular Design
Volume33
Issue number11
DOIs
StatePublished - Nov 1 2019
Externally publishedYes

Keywords

  • Dual-targeted inhibitor
  • Leucyl-tRNA synthetase
  • Methionyl-tRNA synthetase
  • Molecular docking
  • Mycobacterium tuberculosis
  • Pharmacophore modeling

ASJC Scopus subject areas

  • Drug Discovery
  • Computer Science Applications
  • Physical and Theoretical Chemistry

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