Computational antiviral drug design

Cardinal Scholar

Show simple item record

dc.contributor.advisor Ribblett, Jason W.
dc.contributor.author Clifton, Heather A. en_US
dc.date.accessioned 2011-06-09T15:32:23Z
dc.date.available 2011-06-09T15:32:23Z
dc.date.created 2009 en_US
dc.date.issued 2009
dc.identifier.uri http://cardinalscholar.bsu.edu/handle/123456789/193477
dc.description.abstract The goal of this research is to identify a compound or family of compounds that would allow effective treatment of the influenza virus without unnecessary risks and side-effects. Influenza is a substantial problem in today’s society. Each year 36,000 people die in the United States due to influenza, or influenza related causes. Influenza is caused by two types of the virus, Type-A and Type-B. There are currently four FDA approved drugs to treat influenza—two are proton channel blockers and two are neuraminidase inhibitors. The goal of my research was to design a new drug that would allow physicians to effectively treat Type-A and Type-B influenza virus without having their patients endure unnecessary risks and side-effects. Density functional theory calculations were used to optimize the geometries of the ligands. Using sophisticated resources such as the Protein Data Bank and AutoDock, a library of twenty five ligands were docked into the N4 protein. Each docking was performed five times, resulting in one overall average docked energy. The averaged energies for each of the ligands were ranked from lowest to highest. Based upon a different study, one of my ligands were shown to have antiviral activity. From the docked energy for the ligand with confirmed antiviral activity, the results of the highest ranking ligand could be determined to have promising antiviral activity. The ligand shown below is the promising ligand, which will undergo further alterations and dockings to attempt to improve the antiviral activity.
dc.description.sponsorship Department of Chemistry
dc.format.extent viii, 74 p. : digital, PDF file, ill. (chiefly col.) en_US
dc.source CardinalScholar 1.0 en_US
dc.subject.lcsh Antiviral agents -- Design -- Data processing. en_US
dc.subject.lcsh Ligands (Biochemistry)
dc.subject.lcsh Influenza -- Treatment.
dc.title Computational antiviral drug design en_US
dc.title.alternative Alternate title from signature form: Computational antiviral drug discovery en_US
dc.description.degree Thesis (M.S.)
dc.identifier.cardcat-url http://liblink.bsu.edu/catkey/1499267 en_US


Files in this item

This item appears in the following Collection(s)

  • Master's Theses [5454]
    Master's theses submitted to the Graduate School by Ball State University master's degree candidates in partial fulfillment of degree requirements.

Show simple item record

Search Cardinal Scholar


Browse

My Account