000009966 001__ 9966
000009966 005__ 20231129124949.0
000009966 0247_ $$2DOI$$a10.6083/bv73c117g
000009966 037__ $$aETD
000009966 245__ $$aApplication and assessment of peptide-MHC binding affinity prediction
000009966 260__ $$bOregon Health and Science University
000009966 269__ $$a2022
000009966 336__ $$aDissertation
000009966 502__ $$bPh.D.
000009966 520__ $$aInfectious diseases have historically been the leading cause of death worldwide. While cardiovascular disease has slowly overtaken infectious diseases as the leading cause of death over the last 100 years, infectious diseases continue to have a huge burden on our planet, costing millions of life years and trillions of dollars as evidenced by our most recent COVID-19 pandemic. Viral infections like SARS-CoV-2, can be detected and eliminated through the MHC class I antigen presentation pathway. Identifying which viral targets can be recognized by each person's individual immune system is critical, both for evaluating whether current treatments can work, and for developing future vaccines. In my dissertation, I developed a framework to predict and assess susceptibility to infectious disease via peptide-MHC binding.
000009966 542__ $$fIn copyright - single owner
000009966 650__ $$aHLA Antigens$$020260
000009966 650__ $$aPeptides$$023769
000009966 650__ $$aViruses$$027849
000009966 650__ $$aCOVID-19$$013515
000009966 650__ $$aDisease Susceptibility$$017935
000009966 691__ $$aSchool of Medicine$$041369
000009966 692__ $$aDepartment of Biomedical Engineering$$041397
000009966 7001_ $$aNguyen, Austin
000009966 8564_ $$973a087ec-2b55-4679-8352-65f876813108$$s4469990$$uhttps://digitalcollections.ohsu.edu/record/9966/files/Nguyen.Austin.2022.pdf
000009966 905__ $$a/rest/prod/bv/73/c1/17/bv73c117g
000009966 909CO $$ooai:digitalcollections.ohsu.edu:9966$$pstudent-work
000009966 980__ $$aTheses and Dissertations