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Understanding Rifampicin Resistance in Tuberculosis through a Computational Approach

The disease tuberculosis, caused by Mycobacterium tuberculosis (MTB), remains a major cause of morbidity and mortality in developing countries. The evolution of drug-resistant tuberculosis causes a foremost threat to global health. Most drug-resistant MTB clinical strains are showing resistance to i...

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Autores principales: Kumar, Satish, Jena, Lingaraja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korea Genome Organization 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4330266/
https://www.ncbi.nlm.nih.gov/pubmed/25705170
http://dx.doi.org/10.5808/GI.2014.12.4.276
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author Kumar, Satish
Jena, Lingaraja
author_facet Kumar, Satish
Jena, Lingaraja
author_sort Kumar, Satish
collection PubMed
description The disease tuberculosis, caused by Mycobacterium tuberculosis (MTB), remains a major cause of morbidity and mortality in developing countries. The evolution of drug-resistant tuberculosis causes a foremost threat to global health. Most drug-resistant MTB clinical strains are showing resistance to isoniazid and rifampicin (RIF), the frontline anti-tuberculosis drugs. Mutation in rpoB, the beta subunit of DNA-directed RNA polymerase of MTB, is reported to be a major cause of RIF resistance. Amongst mutations in the well-defined 81-base-pair central region of the rpoB gene, mutation at codon 450 (S450L) and 445 (H445Y) is mainly associated with RIF resistance. In this study, we modeled two resistant mutants of rpoB (S450L and H445Y) using Modeller9v10 and performed a docking analysis with RIF using AutoDock4.2 and compared the docking results of these mutants with the wild-type rpoB. The docking results revealed that RIF more effectively inhibited the wild-type rpoB with low binding energy than rpoB mutants. The rpoB mutants interacted with RIF with positive binding energy, revealing the incapableness of RIF inhibition and thus showing resistance. Subsequently, this was verified by molecular dynamics simulations. This in silico evidence may help us understand RIF resistance in rpoB mutant strains.
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spelling pubmed-43302662015-02-22 Understanding Rifampicin Resistance in Tuberculosis through a Computational Approach Kumar, Satish Jena, Lingaraja Genomics Inform Original Article The disease tuberculosis, caused by Mycobacterium tuberculosis (MTB), remains a major cause of morbidity and mortality in developing countries. The evolution of drug-resistant tuberculosis causes a foremost threat to global health. Most drug-resistant MTB clinical strains are showing resistance to isoniazid and rifampicin (RIF), the frontline anti-tuberculosis drugs. Mutation in rpoB, the beta subunit of DNA-directed RNA polymerase of MTB, is reported to be a major cause of RIF resistance. Amongst mutations in the well-defined 81-base-pair central region of the rpoB gene, mutation at codon 450 (S450L) and 445 (H445Y) is mainly associated with RIF resistance. In this study, we modeled two resistant mutants of rpoB (S450L and H445Y) using Modeller9v10 and performed a docking analysis with RIF using AutoDock4.2 and compared the docking results of these mutants with the wild-type rpoB. The docking results revealed that RIF more effectively inhibited the wild-type rpoB with low binding energy than rpoB mutants. The rpoB mutants interacted with RIF with positive binding energy, revealing the incapableness of RIF inhibition and thus showing resistance. Subsequently, this was verified by molecular dynamics simulations. This in silico evidence may help us understand RIF resistance in rpoB mutant strains. Korea Genome Organization 2014-12 2014-12-31 /pmc/articles/PMC4330266/ /pubmed/25705170 http://dx.doi.org/10.5808/GI.2014.12.4.276 Text en Copyright © 2014 by the Korea Genome Organization http://creativecommons.org/licenses/by-nc/3.0/ It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/).
spellingShingle Original Article
Kumar, Satish
Jena, Lingaraja
Understanding Rifampicin Resistance in Tuberculosis through a Computational Approach
title Understanding Rifampicin Resistance in Tuberculosis through a Computational Approach
title_full Understanding Rifampicin Resistance in Tuberculosis through a Computational Approach
title_fullStr Understanding Rifampicin Resistance in Tuberculosis through a Computational Approach
title_full_unstemmed Understanding Rifampicin Resistance in Tuberculosis through a Computational Approach
title_short Understanding Rifampicin Resistance in Tuberculosis through a Computational Approach
title_sort understanding rifampicin resistance in tuberculosis through a computational approach
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4330266/
https://www.ncbi.nlm.nih.gov/pubmed/25705170
http://dx.doi.org/10.5808/GI.2014.12.4.276
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