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dc.contributor.advisorFischer, Christopher J
dc.contributor.advisorDeeds, Eric J
dc.contributor.authorBriggs, Koan Edward Michael
dc.date.accessioned2019-05-19T02:19:10Z
dc.date.available2019-05-19T02:19:10Z
dc.date.issued2018-12-31
dc.date.submitted2018
dc.identifier.otherhttp://dissertations.umi.com/ku:16249
dc.identifier.urihttp://hdl.handle.net/1808/28058
dc.description.abstractWhat follows is a pathway; a sequence of individual events, which together form a story. Yet it is still only a small part of what has come before. Biological structures also have individual stories; each composed of simple events in sequence. One story does not tell the whole, for that we must observe many stories, sample them if you will. Together, they bring understanding. Assembly is an emergent property of many individual binding events. Through this, all of the structures that make up life are created. Understanding the regime of possibilities provides insight into both the breadth and tendencies of the system. Cells contain numerous types of individual proteins many of which come together to form larger complexes. I will begin by introducing the elementary building blocks of those protein complexes. An introductory example will provide the first perspective, it will form common ground and allow the telling of the larger story with a shared perspective. Then a case study, a real biological complex and how understanding the progression of its pathways provided insight into the states which it reached. With the elementary operations described, I will move on to laying out the landscape of possible pathways; first for a specific case and then the structure of the assembly pathways themselves. Thus, providing a novel framework for the understanding of the stochastic space of protein complex assembly. Finally, I will provide an example of how making changes in the possible assembly pathways leads to non-intuitive changes in the conclusion of the protein complexes’ stories.
dc.format.extent120 pages
dc.language.isoen
dc.publisherUniversity of Kansas
dc.rightsCopyright held by the author.
dc.subjectPhysics
dc.subjectComputational physics
dc.subjectBiophysics
dc.subjectAssembly networks
dc.subjectCombinatorial optimization
dc.subjectGraph optimization
dc.subjectMolecular biophysics
dc.subjectNumerical optimization
dc.subjectProtein complex assembly
dc.titleDisrupted Pathways: Generating Tunable Macromolecular Assembly Pathways
dc.typeDissertation
dc.contributor.cmtememberHawley, Steven A
dc.contributor.cmtememberMurray, Michael J
dc.contributor.cmtememberShi, JiCong
dc.thesis.degreeDisciplinePhysics & Astronomy
dc.thesis.degreeLevelPh.D.
dc.identifier.orcid
dc.rights.accessrightsopenAccess


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