Computational design and optimization of protein-protein interactions to engineer novel binders of Influenza Hemagglutinin

dc.contributor.advisorBaker, Daviden_US
dc.contributor.authorChevalier, Aaronen_US
dc.date.accessioned2015-05-11T20:02:53Z
dc.date.issued2015-05-11
dc.date.submitted2015en_US
dc.descriptionThesis (Ph.D.)--University of Washington, 2015en_US
dc.description.abstractInfluenza is a serious public health concern and new therapeutics that protect against this highly adaptable virus are urgently needed. For this dissertation my efforts were focused on creating and improving de novo designed small proteins that bind to the influenza surface protein Hemagglutinin (HA) and mimic the binding interaction of neutralizing antibodies. These designed proteins were aimed at a highly conserved stem region targeted by some neutralizing antibodies that can inhibit viral membrane fusion. While parts of the stem region are highly conserved within the two main Influenza groups (I and II) differences between the groups make engineering a broad intergroup binder difficult. New high throughput experimental and computational methods were developed which allowed for the testing and design of tens of thousands of new proteins to achieve these goals. Furthermore, newly developed proteins were designed to be small and hyperstable in order to be more ideal therapeutics.en_US
dc.embargo.lift2017-04-30T20:02:53Z
dc.embargo.termsRestrict to UW for 2 years -- then make Open Accessen_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.otherChevalier_washington_0250E_14136.pdfen_US
dc.identifier.urihttp://hdl.handle.net/1773/33101
dc.language.isoen_USen_US
dc.rightsCopyright is held by the individual authors.en_US
dc.subject.otherBiomedical engineeringen_US
dc.subject.otherbioengineeringen_US
dc.titleComputational design and optimization of protein-protein interactions to engineer novel binders of Influenza Hemagglutininen_US
dc.typeThesisen_US

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