dc.contributor.advisor | Kazic, Toni Marie | eng |
dc.contributor.author | Mummaneni, Avanthi | eng |
dc.date.issued | 2005 | eng |
dc.date.submitted | 2005 Spring | eng |
dc.description | The 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.description | Title from title screen of research.pdf file viewed on (January 22, 2007) | eng |
dc.description | Includes bibliographical references. | eng |
dc.description | Thesis (M.S.) University of Missouri-Columbia 2005. | eng |
dc.description | Dissertations, Academic -- University of Missouri--Columbia -- Computer science. | eng |
dc.description.abstract | A 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.merlin | b57668723 | eng |
dc.identifier.uri | http://hdl.handle.net/10355/4285 | |
dc.language | English | eng |
dc.publisher | University of Missouri--Columbia | eng |
dc.relation.ispartofcommunity | University of Missouri--Columbia. Graduate School. Theses and Dissertations | eng |
dc.subject | Enzyme Nomenclature Database. | eng |
dc.subject | Enzyme Nomenclature Database | eng |
dc.subject.lcsh | Biochemistry -- Mathematical models | eng |
dc.subject.lcsh | Computer network architectures | eng |
dc.title | Analysis of the enzymatic network | eng |
dc.type | Thesis | eng |
thesis.degree.discipline | Computer science (MU) | eng |
thesis.degree.grantor | University of Missouri--Columbia | eng |
thesis.degree.level | Masters | eng |
thesis.degree.name | M.S. | eng |