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A Computational Electrostatic Modeling Pipeline for Comparing pH-dependent gp120-CD4 Interactions in Founder and Chronic HIV Strains

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dc.contributor.advisor Phillips, Joshua
dc.contributor.author Howton, Jonathan
dc.date.accessioned 2017-05-26T18:00:55Z
dc.date.available 2017-05-26T18:00:55Z
dc.date.issued 2017-03-24
dc.identifier.uri http://jewlscholar.mtsu.edu/xmlui/handle/mtsu/5324
dc.description.abstract Though Human Immunodeficiency Virus has been studied for several decades, a consistently
dc.description.abstract effective vaccine has not yet been produced. While most experimental and computational
dc.description.abstract work in this area has been performed under slightly basic conditions (eg. blood/-
dc.description.abstract plasma), the viral transmission event generally occurs at the highly acidic mucosa. Since
dc.description.abstract pH can greatly affect protein structure, it likely affects epitope exposure to either inhibit or
dc.description.abstract facilitate transmission. In this thesis, a pipeline for analyzing the pH sensitivity of proteinprotein
dc.description.abstract interactions is applied to the transmission critical interaction between the HIV gp120
dc.description.abstract and host CD4 proteins. The interaction between gp120 and CD4 is shown to be stronger
dc.description.abstract at low pH for all strains tested, which is consistent with previous work and supports the
dc.description.abstract accuracy of the introduced pipeline. Also, early transmitted founder (TF) strains generally
dc.description.abstract bind CD4 better at low pH and are more pH sensitive than systemically circulating chronic
dc.description.abstract control (CC) strains.
dc.publisher Middle Tennessee State University
dc.subject Computational
dc.subject HIV
dc.subject Modeling
dc.subject PH
dc.subject Protein
dc.subject Virus
dc.title A Computational Electrostatic Modeling Pipeline for Comparing pH-dependent gp120-CD4 Interactions in Founder and Chronic HIV Strains
dc.type Thesis
dc.contributor.committeemember Barbosa, Sal
dc.contributor.committeemember Wright, Stephen
dc.thesis.degreelevel Masters
dc.thesis.degreegrantor Middle Tennessee State University
dc.subject.umi Computer science
dc.subject.umi Bioinformatics
dc.subject.umi Virology
dc.description.degree M.S.
dc.contributor.department Computer Science


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