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dc.contributor.advisorKazic, Toni Marieeng
dc.contributor.authorMummaneni, Avanthieng
dc.date.issued2005eng
dc.date.submitted2005 Springeng
dc.descriptionThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file.eng
dc.descriptionTitle from title screen of research.pdf file viewed on (January 22, 2007)eng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionThesis (M.S.) University of Missouri-Columbia 2005.eng
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Computer science.eng
dc.description.abstractA biochemical network is very large, complex system with very diverse components. In order to study the behavior of networks, the first step is to study their architecture. Studying network architecture raises many basic questions about its connectivity. In order for me to answer all these questions, I was embarked on the task of building a biochemical network. The Enzyme Nomenclature Database (END) contains information on all systematically classified enzymatic reactions. The data of END represent a basic notion of a biochemical network. I did various calculations and implemented several algorithms to study the architecture of the network of these enzymatic reactions in END. Most of the reactions in the network have reactive conjuction degrees of four and five and most compounds are connected to only one reaction. The network can be connected into a single large component by compounds of low degree. There are more branced regions in the network than simple straight paths. There are many more regions densely connected internally than their immediate context.eng
dc.identifier.merlinb57668723eng
dc.identifier.urihttp://hdl.handle.net/10355/4285
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri--Columbia. Graduate School. Theses and Dissertationseng
dc.subjectEnzyme Nomenclature Database.eng
dc.subjectEnzyme Nomenclature Databaseeng
dc.subject.lcshBiochemistry -- Mathematical modelseng
dc.subject.lcshComputer network architectureseng
dc.titleAnalysis of the enzymatic networkeng
dc.typeThesiseng
thesis.degree.disciplineComputer science (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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