Journal of Computer-Aided Molecular Design | 2019

Dual-targeted hit identification using pharmacophore screening

 
 
 
 
 
 
 
 

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.

Volume 33
Pages 955 - 964
DOI 10.1007/s10822-019-00245-5
Language English
Journal Journal of Computer-Aided Molecular Design

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