Literature DB >> 26822568

Discovery of potent anti-tuberculosis agents targeting leucyl-tRNA synthetase.

Olga I Gudzera1, Andriy G Golub2, Volodymyr G Bdzhola1, Galyna P Volynets1, Sergiy S Lukashov1, Oksana P Kovalenko1, Ivan A Kriklivyi1, Anna D Yaremchuk1, Sergiy A Starosyla1, Sergiy M Yarmoluk3, Michail A Tukalo1.   

Abstract

Tuberculosis is a serious infectious disease caused by human pathogen bacteria Mycobacterium tuberculosis. Bacterial drug resistance is a very significant medical problem nowadays and development of novel antibiotics with different mechanisms of action is an important goal of modern medical science. Leucyl-tRNA synthetase (LeuRS) has been recently clinically validated as antimicrobial target. Here we report the discovery of small-molecule inhibitors of M. tuberculosis LeuRS. Using receptor-based virtual screening we have identified six inhibitors of M. tuberculosis LeuRS from two different chemical classes. The most active compound 4-{[4-(4-Bromo-phenyl)-thiazol-2-yl]hydrazonomethyl}-2-methoxy-6-nitro-phenol (1) inhibits LeuRS with IC50 of 6μM. A series of derivatives has been synthesized and evaluated in vitro toward M. tuberculosis LeuRS. It was revealed that the most active compound 2,6-Dibromo-4-{[4-(4-nitro-phenyl)-thiazol-2-yl]-hydrazonomethyl}-phenol inhibits LeuRS with IC50 of 2.27μM. All active compounds were tested for antimicrobial effect against M. tuberculosis H37Rv. The compound 1 seems to have the best cell permeability and inhibits growth of pathogenic bacteria with IC50=10.01μM and IC90=13.53μM.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aminoacylation assay; Inhibitor; Leucyl-tRNA synthetase; Mycobacterium tuberculosis; Virtual screening

Mesh:

Substances:

Year:  2016        PMID: 26822568     DOI: 10.1016/j.bmc.2016.01.028

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  8 in total

1.  Exploiting evolutionary trade-offs for posttreatment management of drug-resistant populations.

Authors:  Sergey V Melnikov; David L Stevens; Xian Fu; Hui Si Kwok; Jin-Tao Zhang; Yue Shen; Jeffery Sabina; Kevin Lee; Harry Lee; Dieter Söll
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-13       Impact factor: 11.205

Review 2.  Recent development of leucyl-tRNA synthetase inhibitors as antimicrobial agents.

Authors:  Panpan Zhang; Shutao Ma
Journal:  Medchemcomm       Date:  2019-05-27       Impact factor: 3.597

3.  Dual-targeted hit identification using pharmacophore screening.

Authors:  Galyna P Volynets; Sergiy A Starosyla; Mariia Yu Rybak; Volodymyr G Bdzhola; Oksana P Kovalenko; Vasyl S Vdovin; Sergiy M Yarmoluk; Michail A Tukalo
Journal:  J Comput Aided Mol Des       Date:  2019-11-06       Impact factor: 3.686

4.  In Vitro Resistance and Evolution of Resistance to Tavaborole in Trichophyton rubrum.

Authors:  Diletta Mazzantini; Francesco Celandroni; Marco Calvigioni; Antonella Lupetti; Emilia Ghelardi
Journal:  Antimicrob Agents Chemother       Date:  2021-03-18       Impact factor: 5.191

5.  Dual-target inhibitors of mycobacterial aminoacyl-tRNA synthetases among N-benzylidene-N'-thiazol-2-yl-hydrazines.

Authors:  Oksana P Kovalenko; Galyna P Volynets; Mariia Yu Rybak; Sergiy A Starosyla; Olga I Gudzera; Sergiy S Lukashov; Volodymyr G Bdzhola; Sergiy M Yarmoluk; Helena I Boshoff; Michael A Tukalo
Journal:  Medchemcomm       Date:  2019-11-28       Impact factor: 3.597

Review 6.  Predictive Power of In Silico Approach to Evaluate Chemicals against M. tuberculosis: A Systematic Review.

Authors:  Giulia Oliveira Timo; Rodrigo Souza Silva Valle Dos Reis; Adriana Françozo de Melo; Thales Viana Labourdette Costa; Pérola de Oliveira Magalhães; Mauricio Homem-de-Mello
Journal:  Pharmaceuticals (Basel)       Date:  2019-09-16

7.  Serum sCD14, PGLYRP2 and FGA as potential biomarkers for multidrug-resistant tuberculosis based on data-independent acquisition and targeted proteomics.

Authors:  Jing Chen; Yu-Shuai Han; Wen-Jing Yi; Huai Huang; Zhi-Bin Li; Li-Ying Shi; Li-Liang Wei; Yi Yu; Ting-Ting Jiang; Ji-Cheng Li
Journal:  J Cell Mol Med       Date:  2020-09-23       Impact factor: 5.310

Review 8.  Drug Discovery for Mycobacterium tuberculosis Using Structure-Based Computer-Aided Drug Design Approach.

Authors:  Murtala A Ejalonibu; Segun A Ogundare; Ahmed A Elrashedy; Morufat A Ejalonibu; Monsurat M Lawal; Ndumiso N Mhlongo; Hezekiel M Kumalo
Journal:  Int J Mol Sci       Date:  2021-12-09       Impact factor: 5.923

  8 in total

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