Protein Based Modeling of SARS-CoV-2

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dc.contributorMcKeon, Frank D.
dc.contributorNeupane, Rahul
dc.contributorXian, Wa
dc.contributor.authorHaverty, Benjamin
dc.contributor.authorMaknojia, Uzma
dc.date.accessioned2021-02-11T17:48:55Z
dc.date.available2021-02-11T17:48:55Z
dc.date.issued2020-09-29
dc.description.abstractThe SARS-CoV-2 COVID-19 outbreak has quickly risen to the most impactful public health crisis of the last century. As research teams across the country are working to identify potential vaccine and pharmaceutical candidates, the importance of identifying suitable proteins against which the human body makes antibodies has become ever more important. A number of proteins have already been identified in the SARS-CoV-2 virus, including spike, envelope, and nucleocapsid, however, it remains unknown which of these the human immune system produces antibodies against, aka which would be the most effaceable protein to use in COVID inoculation. We used Gibson assembly to join multiple pieces of plasmid DNA coding for different SARS-CoV-2 proteins and verified the results via DNA sequencing.
dc.description.departmentBiology and Biochemistry, Department of
dc.description.departmentHonors College
dc.identifier.urihttps://hdl.handle.net/10657/7463
dc.language.isoen_US
dc.relation.ispartofSummer Undergraduate Research Fellowship
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.titleProtein Based Modeling of SARS-CoV-2
dc.typePoster

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