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Using bioinformatics tools for the discovery of Dengue RNA-dependent RNA polymerase inhibitors

BACKGROUND: Dengue fever has rapidly manifested into a serious global health concern. The emergence of various viral serotypes has prompted the urgent need for innovative drug design techniques. Of the viral non-structural enzymes, the NS5 RNA-dependent RNA polymerase has been established as a promi...

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Autores principales: Nncube, Nomagugu B., Ramharack, Pritika, Soliman, Mahmoud E.S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6161702/
https://www.ncbi.nlm.nih.gov/pubmed/30280009
http://dx.doi.org/10.7717/peerj.5068
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author Nncube, Nomagugu B.
Ramharack, Pritika
Soliman, Mahmoud E.S.
author_facet Nncube, Nomagugu B.
Ramharack, Pritika
Soliman, Mahmoud E.S.
author_sort Nncube, Nomagugu B.
collection PubMed
description BACKGROUND: Dengue fever has rapidly manifested into a serious global health concern. The emergence of various viral serotypes has prompted the urgent need for innovative drug design techniques. Of the viral non-structural enzymes, the NS5 RNA-dependent RNA polymerase has been established as a promising target due to its lack of an enzymatic counterpart in mammalian cells and its conserved structure amongst all serotypes. The onus is now on scientists to probe further into understanding this enzyme and its mechanism of action. The field of bioinformatics has evolved greatly over recent decades, with updated drug design tools now being publically available. METHODS: In this study, bioinformatics tools were used to provide a comprehensive sequence and structural analysis of the two most prominent serotypes of Dengue RNA-dependent RNA polymerase. A list of popular flavivirus inhibitors were also chosen to dock to the active site of the enzyme. The best docked compound was then used as a template to generate a pharmacophore model that may assist in the design of target-specific Dengue virus inhibitors. RESULTS: Comparative sequence alignment exhibited similarity between all three domains of serotype 2 and 3.Sequence analysis revealed highly conserved regions at residues Meth530, Thr543 Asp597, Glu616, Arg659 and Pro671. Mapping of the active site demonstrated two highly conserved residues: Ser710 and Arg729. Of the active site interacting residues, Ser796 was common amongst all ten docked compounds, indicating its importance in the drug design process. Of the ten docked flavivirus inhibitors, NITD-203 showed the best binding affinity to the active site. Further pharmacophore modeling of NITD-203 depicted significant pharmacophoric elements that are necessary for stable binding to the active site. DISCUSSION: This study utilized publically available bioinformatics tools to provide a comprehensive framework on Dengue RNA-dependent RNA polymerase. Based on docking studies, a pharmacophore model was also designed to unveil the crucial pharmacophoric elements that are required when constructing an efficacious DENV inhibitor. We believe that this study will be a cornerstone in paving the road toward the design of target-specific inhibitors against DENV RdRp.
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spelling pubmed-61617022018-10-02 Using bioinformatics tools for the discovery of Dengue RNA-dependent RNA polymerase inhibitors Nncube, Nomagugu B. Ramharack, Pritika Soliman, Mahmoud E.S. PeerJ Bioinformatics BACKGROUND: Dengue fever has rapidly manifested into a serious global health concern. The emergence of various viral serotypes has prompted the urgent need for innovative drug design techniques. Of the viral non-structural enzymes, the NS5 RNA-dependent RNA polymerase has been established as a promising target due to its lack of an enzymatic counterpart in mammalian cells and its conserved structure amongst all serotypes. The onus is now on scientists to probe further into understanding this enzyme and its mechanism of action. The field of bioinformatics has evolved greatly over recent decades, with updated drug design tools now being publically available. METHODS: In this study, bioinformatics tools were used to provide a comprehensive sequence and structural analysis of the two most prominent serotypes of Dengue RNA-dependent RNA polymerase. A list of popular flavivirus inhibitors were also chosen to dock to the active site of the enzyme. The best docked compound was then used as a template to generate a pharmacophore model that may assist in the design of target-specific Dengue virus inhibitors. RESULTS: Comparative sequence alignment exhibited similarity between all three domains of serotype 2 and 3.Sequence analysis revealed highly conserved regions at residues Meth530, Thr543 Asp597, Glu616, Arg659 and Pro671. Mapping of the active site demonstrated two highly conserved residues: Ser710 and Arg729. Of the active site interacting residues, Ser796 was common amongst all ten docked compounds, indicating its importance in the drug design process. Of the ten docked flavivirus inhibitors, NITD-203 showed the best binding affinity to the active site. Further pharmacophore modeling of NITD-203 depicted significant pharmacophoric elements that are necessary for stable binding to the active site. DISCUSSION: This study utilized publically available bioinformatics tools to provide a comprehensive framework on Dengue RNA-dependent RNA polymerase. Based on docking studies, a pharmacophore model was also designed to unveil the crucial pharmacophoric elements that are required when constructing an efficacious DENV inhibitor. We believe that this study will be a cornerstone in paving the road toward the design of target-specific inhibitors against DENV RdRp. PeerJ Inc. 2018-09-25 /pmc/articles/PMC6161702/ /pubmed/30280009 http://dx.doi.org/10.7717/peerj.5068 Text en ©2018 Nncube et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Bioinformatics
Nncube, Nomagugu B.
Ramharack, Pritika
Soliman, Mahmoud E.S.
Using bioinformatics tools for the discovery of Dengue RNA-dependent RNA polymerase inhibitors
title Using bioinformatics tools for the discovery of Dengue RNA-dependent RNA polymerase inhibitors
title_full Using bioinformatics tools for the discovery of Dengue RNA-dependent RNA polymerase inhibitors
title_fullStr Using bioinformatics tools for the discovery of Dengue RNA-dependent RNA polymerase inhibitors
title_full_unstemmed Using bioinformatics tools for the discovery of Dengue RNA-dependent RNA polymerase inhibitors
title_short Using bioinformatics tools for the discovery of Dengue RNA-dependent RNA polymerase inhibitors
title_sort using bioinformatics tools for the discovery of dengue rna-dependent rna polymerase inhibitors
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6161702/
https://www.ncbi.nlm.nih.gov/pubmed/30280009
http://dx.doi.org/10.7717/peerj.5068
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