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Combining Protein Interactions and Functionality Classification in NS3 to Determine Specific Antiviral Targets in Dengue

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dc.contributor.advisor Jafri, Saleet M
dc.contributor.author Alomair, Lamya Abdulaziz
dc.creator Alomair, Lamya Abdulaziz
dc.date.accessioned 2018-10-22T01:19:49Z
dc.date.available 2018-10-22T01:19:49Z
dc.date.issued 2017
dc.identifier.uri https://hdl.handle.net/1920/11255
dc.description.abstract Dengue virus (DENV) is a serious worldwide health concern putting about 2.5 billion people in more than 100 countries at-risk Dengue is a member of the flaviviridae family, is transmitted to human via mosquitos. Dengue is a deadly viral disease. Unfortunately, there are no vaccines or antiviral that can prevent this infection and that is why researchers are diligently working to find cures. The DENV genome codes for multiple nonstructural proteins one of which is the NS3 enzyme that participates in different steps of the viral life cycle including viral replication, viral RNA genome synthesis and host immune mechanism. Recent studies suggest the role of fatty acid biogenesis during DENV infection, including posttranslational protein modification. Phosphorylation is among the protein post translational modifications and plays essential roles in protein folding, interactions, signal transduction, survival and apoptosis.
dc.format.extent 124 pages
dc.language.iso en
dc.rights Copyright 2017 Lamya Abdulaziz Alomair
dc.subject Bioinformatics en_US
dc.subject Dengue en_US
dc.subject flaviviridae en_US
dc.subject kinase en_US
dc.subject Lamya Alomair en_US
dc.subject NS3 en_US
dc.subject Zika en_US
dc.title Combining Protein Interactions and Functionality Classification in NS3 to Determine Specific Antiviral Targets in Dengue
dc.type Dissertation
thesis.degree.level Ph.D.
thesis.degree.discipline Computational Science
thesis.degree.grantor George Mason University


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