2010
DOI: 10.1080/07391102.2010.10508576
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Molecular Modeling of Mycobacterium Tuberculosis DNA Gyrase and its Molecular Docking Study with Gatifloxacin Inhibitors

Abstract: Mycobacterium tuberculosis (Mt) is a leading cause of infectious disease in the world today. This outlook is aggravated by a growing number of Mt infections in individuals who are immunocompromised as a result of HIV infections. Thus, new and more potent anti-tuberculosis agents are necessary. Therefore, DNA gyrase was selected as a target enzyme to combat Mt. In this work, the first three-dimensional molecular model of the hypothetical structures for the Mycobacterium tuberculosis DNA gyrase (mtDNAg) was eluc… Show more

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Cited by 77 publications
(24 citation statements)
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“…Over the past decade, bacterial DNA gyrase has drawn much attention as a selected target for finding potent antibacterial agents [1][6]. DNA gyrase is mainly inhibited by quinolones and coumarins, some of which are widely used for the treatment of bacterial infectious diseases (e.g., ciprofloxacin) [7][11].…”
Section: Introductionmentioning
confidence: 99%
“…Over the past decade, bacterial DNA gyrase has drawn much attention as a selected target for finding potent antibacterial agents [1][6]. DNA gyrase is mainly inhibited by quinolones and coumarins, some of which are widely used for the treatment of bacterial infectious diseases (e.g., ciprofloxacin) [7][11].…”
Section: Introductionmentioning
confidence: 99%
“…We used the same homology modeling technique that had allowed Cunha and colleagues to propose the first MTB GyrA hypothetical structure three-dimensional model [13]. Calculating the distance between Asp94 and Arg98 facilitated the visualization of a pocket that is believed to accommodate LVX (Figures 1 and 2), thus underscoring the critical role played by both residues in the FQ binding.…”
Section: Discussionmentioning
confidence: 99%
“…different topics (Bhargavi et al, 2010;Cambria et al, 2010;Cao and Wang, 2010;Chang et al, 2010;Chen, 2010;da Cunha et al, 2010;Huang et al, 2010a,b;Kahlon et al, 2010;Koshy et al, 2010). Previously, we had conduced in silico studies on influenza hemagglutinin (Chen et al, 2009a.…”
Section: Introductionmentioning
confidence: 97%