An integrated computational approach of molecular dynamics simulations, receptor binding studies and pharmacophore mapping analysis in search of potent inhibitors against tuberculosis

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dc.contributor.author Agarwal, Shivangi
dc.contributor.author Verma, Ekta
dc.contributor.author Kumar, Vivek
dc.contributor.author Lall, Namrita
dc.contributor.author Sau, Samaresh
dc.contributor.author Iyer, Arun K.
dc.contributor.author Kashaw, Sushil K.
dc.date.accessioned 2018-09-14T09:09:26Z
dc.date.issued 2018-08
dc.description.abstract Tuberculosis is an infectious chronic disease caused by obligate pathogen Mycobacterium tuberculosis that affects millions of people worldwide. Although many first and second line drugs are available for its treatment, but their irrational use has adversely lead to the emerging cases of multiple drug resistant and extensively drug-resistant tuberculosis. Therefore, there is an intense need to develop novel potent analogues for its treatment. This has prompted us to develop potent analogues against TB. The Mycobacterium tuberculosis genome provides us with number of validated targets to combat against TB. Study of Mtb genome disclosed six epoxide hydrolases (A to F) which convert harmful epoxide into diols and act as a potential drug target for rational drug design. Our current strategy is to develop such analogues which inhibits epoxide hydrolase enzyme present in Mtb genome. To achieve this, we adopted an integrated computational approach involving QSAR, pharmacophore mapping, molecular docking and molecular dynamics simulation studies. The approach envisaged vital information about the role of molecular descriptors, essential pharmacophoric features and binding energy for compounds to bind into the active site of epoxide hydrolase. Molecular docking analysis revealed that analogues exhibited significant binding to Mtb epoxide hydrolase. Further, three docked complexes 2s, 37s and 15s with high, moderate and low docking scores respectively were selected for molecular dynamics simulation studies. RMSD analysis revealed that all complexes are stable with average RMSD below 2 Å throughout the 10 ns simulations. The B-factor analysis showed that the active site residues of epoxide hydrolase are flexible enough to interact with inhibitor. Moreover, to confirm the binding of these urea derivatives, MM-GBSA binding energy analysis were performed. The calculations showed that 37s has more binding affinity (ΔGtotal = −52.24 kcal/mol) towards epoxide hydrolase compared to 2s (ΔGtotal = −51.70 kcal/mol) and 15s (ΔGtotal = −49.97 kcal/mol). The structural features inferred in our study may provide the future directions to the scientists towards the discovery of new chemical entity exhibiting anti-TB property. en_ZA
dc.description.department Plant Production and Soil Science en_ZA
dc.description.embargo 2019-08-01
dc.description.librarian hj2018 en_ZA
dc.description.sponsorship AICTE and Department of Science and Technology, New Delhi. en_ZA
dc.description.uri http://www.elsevier.com/locate/JMGM en_ZA
dc.identifier.citation Agarwal, S., Verma, E., Kumar, V. et al. 2018, 'An integrated computational approach of molecular dynamics simulations, receptor binding studies and pharmacophore mapping analysis in search of potent inhibitors against tuberculosis', Journal of Molecular Graphics and Modelling, vol. 83, pp. 17-32. en_ZA
dc.identifier.issn 1093-3263 (print)
dc.identifier.issn 1873-4243 (online)
dc.identifier.other 10.1016/j.jmgm.2018.04.019
dc.identifier.uri http://hdl.handle.net/2263/66564
dc.language.iso en en_ZA
dc.publisher Elsevier en_ZA
dc.rights © 2018 Elsevier Inc. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Journal of Molecular Graphics and Modelling. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Journal of Molecular Graphics and Modelling, vol. 83, pp. 17-32, 2018. doi : 10.1016/j.jmgm.2018.04.019. en_ZA
dc.subject Tuberculosis (TB) en_ZA
dc.subject Epoxide hydrolase en_ZA
dc.subject Molecular docking en_ZA
dc.subject Pharmacophore mapping en_ZA
dc.subject Molecular dynamics simulation en_ZA
dc.subject Docking en_ZA
dc.subject Prediction en_ZA
dc.subject Force field en_ZA
dc.subject Urea derivatives en_ZA
dc.subject Direct InhA inhibitors en_ZA
dc.subject Mycobacterium tuberculosis (MTB) en_ZA
dc.subject Biological evaluation en_ZA
dc.subject Drug discovery en_ZA
dc.title An integrated computational approach of molecular dynamics simulations, receptor binding studies and pharmacophore mapping analysis in search of potent inhibitors against tuberculosis en_ZA
dc.type Postprint Article en_ZA


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