Literature DB >> 28743650

Analysis of interactions of clinical mutants of catalase-peroxidase (KatG) responsible for isoniazid resistance in Mycobacterium tuberculosis with derivatives of isoniazid.

Ameeruddin Nusrath Unissa1, George Priya Doss C2, Thirumal Kumar2, Sukumar Swathi3, Appisetty Ramya Lakshmi3, Luke Elizabeth Hanna3.   

Abstract

OBJECTIVES: Isoniazid (INH) resistance is a major contributor to the emergence of multidrug resistance in Mycobacterium tuberculosis (MTB), hampering the success of tuberculosis treatment. This study aimed to identify good leads based on INH derivatives against INH-resistant MTB strains. Mutations at codon 315 in the katG gene encoding catalase-peroxidase (KatG) are the major cause of INH resistance in MTB. The most prevalent substitution is S315T; other substitutions include S315I, S315R, S315N and S315G.
METHODS: In this study, all five naturally occurring mutants (S315T, S315I, S315R, S315N and S315G) of KatG were docked and simulated with 50 INH derivatives in comparison with the wild-type (WT) KatG.
RESULTS: The docking results suggested that compounds C30, C45 and C50 gave the highest scores when bound to the mutants of KatG. Of note, C50 produced a high score with the WT as well as with three mutants (S315T, S315I and S315R). Simulation studies indicated that C50 exhibited minimal deviation and fluctuation between WT and three mutants compared with C30 and C45, which displayed significant changes with WT and the S315N and S315G mutants, respectively.
CONCLUSIONS: C50 can be considered as a better lead for INH-resistant strains. These models demonstrate the binding interaction of all naturally occurring KatG mutants of MTB at position 315 with derivatives of INH. This information will be helpful for lead compound-based identification of derivatives that may be used against INH-resistant MTB strains and may provide a useful structural framework for designing new antitubercular agents that can circumvent INH resistance.
Copyright © 2017 International Society for Chemotherapy of Infection and Cancer. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Derivatives; Dynamics; Isoniazid resistance; KatG mutants; Molecular docking; Mycobacterium tuberculosis

Mesh:

Substances:

Year:  2017        PMID: 28743650     DOI: 10.1016/j.jgar.2017.06.014

Source DB:  PubMed          Journal:  J Glob Antimicrob Resist        ISSN: 2213-7165            Impact factor:   4.035


  3 in total

1.  Computational approach to unravel the impact of missense mutations of proteins (D2HGDH and IDH2) causing D-2-hydroxyglutaric aciduria 2.

Authors:  D Thirumal Kumar; L Jerushah Emerald; C George Priya Doss; P Sneha; R Siva; W Charles Emmanuel Jebaraj; Hatem Zayed
Journal:  Metab Brain Dis       Date:  2018-07-09       Impact factor: 3.655

2.  Deciphering Isoniazid Drug Resistance Mechanisms on Dimeric Mycobacterium tuberculosis KatG via Post-molecular Dynamics Analyses Including Combined Dynamic Residue Network Metrics.

Authors:  Victor Barozi; Thommas Mutemi Musyoka; Olivier Sheik Amamuddy; Özlem Tastan Bishop
Journal:  ACS Omega       Date:  2022-04-07

3.  Molecular Analysis of katG Encoding Catalase-Peroxidase from Clinical Isolate of Isoniazid-Resistant Mycobacterium tuberculosis.

Authors:  P Purkan; I Ihsanawati; D Natalia; Y M Syah; D S Retnoningrum; I Siswanto
Journal:  J Med Life       Date:  2018 Apr-Jun
  3 in total

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