000008592 001__ 8592
000008592 005__ 20231214104143.0
000008592 0247_ $$2DOI$$a10.6083/tq57nr75n
000008592 037__ $$aETD
000008592 245__ $$aNovel discovery of bacterial ovarian tumor deubiquitinases from primary amino acid sequence
000008592 260__ $$bOregon Health and Science University
000008592 260__ $$bOregon Health and Science University
000008592 269__ $$a2020
000008592 336__ $$aThesis
000008592 502__ $$bM.S.
000008592 520__ $$aThe post-translational modifier, ubiquitin, controls many aspects of eukaryotic cell biology, including key aspects of both innate and adaptive immune signaling. Remarkably, despite having no such system of their own, viruses and bacteria have evolved strategies to manipulate ubiquitin signaling of the host cell to support infection. A common strategy to both pathogens is the adaptation of specialized proteases, termed deubiquitinases, that can remove host ubiquitin signals. Though the current body of work suggests that the removal of host ubiquitin signals is a common strategy for virulence, the identification of novel deubiquitinases has been impeded by significant differences in primary sequences that likely indicate an evolutionary convergence in function. Since development of deubiquitinases typically derive from structural mimicry, this allows for diversity in the primary sequences that may make motif searching for deubiquitinases difficult.
000008592 542__ $$fIn copyright - single owner
000008592 650__ $$aMachine Learning$$011449
000008592 650__ $$aUbiquitin$$033233
000008592 650__ $$aOvarian Neoplasms$$023386
000008592 691__ $$aSchool of Medicine$$041369
000008592 692__ $$aDepartment of Medical Informatics and Clinical Epidemiology$$041422
000008592 7001_ $$aNguyen, Justine$$uOregon Health and Science University$$041354
000008592 8564_ $$9f889b341-6e5e-48cb-b612-4cf6a6a2e945$$s2141654$$uhttps://digitalcollections.ohsu.edu/record/8592/files/Nguyen.Justine.2020.pdf
000008592 905__ $$a/rest/prod/tq/57/nr/75/tq57nr75n
000008592 909CO $$ooai:digitalcollections.ohsu.edu:8592$$pstudent-work
000008592 980__ $$aBiomedical Informatics