Abstract
The highly persistent nature of Mycobacterium tuberculosis can be attributed to its lipophilic cell wall which acts as a major barrier in the process of drug discovery against tuberculosis. Glutamine synthetase plays a major role in nitrogen metabolism and cell wall biosynthesis of pathogenic mycobacteria. The current review focuses on the structural and functional aspects of Mtb glutamine synthetase and an overview of its reported inhibitors till date. Also in the present study, we employed a computational structure based drug design protocol for identifying novel inhibitors against Mtb glutamine synthetase (MtbGS). A total of 12 hits were identified based on e-pharmacophore related search and virtual screening, which were further tested for their in vitro MtbGS inhibitory activity. Three compounds (compound 6, 1 and 12) were found with IC50 less than 5 µM, of which compound 6 being top active with IC50 of 2.124 µM. Differential scanning fluorimetry studies were employed so as to measure the thermal stability of the protein complexed with the most active compound. Also the protein complexes with top three active compounds were subjected for molecular dynamics simulations to study their binding pattern and stabilization effect. The solvation free energies were also determined for these compounds, undertaking free energy perturbation studies, which can be used further for lead optimization in the process of anti-tubercular drug discovery targeting Mtb glutamine synthetase.
Keywords: Glutamine synthetase, E-pharmacophore, Differential scanning fluorimetry, Molecular dynamics simulations, Solvation free energy.
Current Topics in Medicinal Chemistry
Title:Computational Sampling and Simulation Based Assessment of Novel Mycobacterium tuberculosis Glutamine Synthetase Inhibitors: Study Involving Structure Based Drug Design and Free Energy Perturbation
Volume: 16 Issue: 9
Author(s): Priyanka Suryadevara, Perumal Yogeeswari, Vijay Soni, Parthiban Brindha Devi, Vinay Kumar Nandicoori and Dharmarajan Sriram
Affiliation:
Keywords: Glutamine synthetase, E-pharmacophore, Differential scanning fluorimetry, Molecular dynamics simulations, Solvation free energy.
Abstract: The highly persistent nature of Mycobacterium tuberculosis can be attributed to its lipophilic cell wall which acts as a major barrier in the process of drug discovery against tuberculosis. Glutamine synthetase plays a major role in nitrogen metabolism and cell wall biosynthesis of pathogenic mycobacteria. The current review focuses on the structural and functional aspects of Mtb glutamine synthetase and an overview of its reported inhibitors till date. Also in the present study, we employed a computational structure based drug design protocol for identifying novel inhibitors against Mtb glutamine synthetase (MtbGS). A total of 12 hits were identified based on e-pharmacophore related search and virtual screening, which were further tested for their in vitro MtbGS inhibitory activity. Three compounds (compound 6, 1 and 12) were found with IC50 less than 5 µM, of which compound 6 being top active with IC50 of 2.124 µM. Differential scanning fluorimetry studies were employed so as to measure the thermal stability of the protein complexed with the most active compound. Also the protein complexes with top three active compounds were subjected for molecular dynamics simulations to study their binding pattern and stabilization effect. The solvation free energies were also determined for these compounds, undertaking free energy perturbation studies, which can be used further for lead optimization in the process of anti-tubercular drug discovery targeting Mtb glutamine synthetase.
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Suryadevara Priyanka, Yogeeswari Perumal, Soni Vijay, Devi Brindha Parthiban, Nandicoori Kumar Vinay and Sriram Dharmarajan, Computational Sampling and Simulation Based Assessment of Novel Mycobacterium tuberculosis Glutamine Synthetase Inhibitors: Study Involving Structure Based Drug Design and Free Energy Perturbation, Current Topics in Medicinal Chemistry 2016; 16 (9) . https://dx.doi.org/10.2174/1568026615666150825142726
DOI https://dx.doi.org/10.2174/1568026615666150825142726 |
Print ISSN 1568-0266 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4294 |
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