Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/44812
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dc.contributor.authorHaribalaganesh, R-
dc.contributor.authorRosy, J Christina-
dc.contributor.authorRohita, S-
dc.contributor.authorAishwarya, C-
dc.contributor.authorBrintha, S-
dc.contributor.authorRahul, S-
dc.contributor.authorSundar, K-
dc.date.accessioned2018-08-07T04:23:44Z-
dc.date.available2018-08-07T04:23:44Z-
dc.date.issued2018-01-
dc.identifier.issn0975-0967 (Online); 0972-5849 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/handle/123456789/44812-
dc.description176-184en_US
dc.description.abstractRepression of highly lethal Ebola virus outbreaks poses a serious public health challenge. Ebola haemorrhagic fever is a highly lethal disease for which there are no effective therapeutic or preventative treatments. Hence, there is a necessity to discover new candidate drugs that could have the capability to contain Ebola. Structure based virtual screening method is a method that could accelerate the drug discovery process. In this study, various known antiviral drugs were used as ligands to screen for their binding ability to Ebola proteins by using protein ligand docking. As the crystal structure of the Ebola proteins were not available, these structures were predicted using PS2 or RABTOR X and the predicted structures were validated using Ramachandran plot. Six of the existing drugs exhibited a better binding affinity to various Ebola proteins; they could be used as lead compounds in developing a better drug for controlling Ebola.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJBT Vol.17(1) [January 2018]en_US
dc.subjectAntiviral drugen_US
dc.subjectEbolaen_US
dc.subjectStructure-based virtual screeningen_US
dc.subjectProtein-ligand dockingen_US
dc.subjectHomology modellingen_US
dc.titleAntiviral drugs against Ebola: A structure based virtual screening approachen_US
dc.typeArticleen_US
Appears in Collections:IJBT Vol.17(1) [January 2018]

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