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Modelling Amylopectin Biosynthesis with Evolved Stigmergic Building Algorithms

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dc.contributor.advisor Ashlock, Daniel
dc.contributor.advisor Tetlow, Ian
dc.contributor.author Goren, Asena
dc.date.accessioned 2017-04-20T19:14:13Z
dc.date.available 2017-04-20T19:14:13Z
dc.date.copyright 2017-04
dc.date.created 2017-04-12
dc.date.issued 2017-04-20
dc.identifier.uri http://hdl.handle.net/10214/10313
dc.description.abstract This thesis describes the investigation of the use of evolutionary computation to evolve stigmergic building algorithms to simulate the interplay of biosynthetic enzymes that is necessary to produce the amylopectin polysaccharides that are the major component of starch. Amylopectins are large, branched, semi-crystalline glucose polymers that are synthesized by a diverse group of enzymes with different functionalities. The structure and synthesis of amylopectin is not yet fully understood. This study uses an evolutionary computational model combined with a stigmergic model of wasp behaviour to elucidate unanswered questions about amylopectin biosynthesis. The interplay of three functional groups of enzymes, synthases, branchers, and debranchers, are modelled and analysed to determine their relative activities, context sensitivities, and roles in amylopectin synthesis. en_US
dc.language.iso en en_US
dc.rights Attribution-NonCommercial-ShareAlike 2.5 Canada *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ca/ *
dc.subject Starch en_US
dc.subject Amylopectin en_US
dc.subject Evolutionary Computation en_US
dc.subject Agent based model en_US
dc.subject Stigmergy en_US
dc.title Modelling Amylopectin Biosynthesis with Evolved Stigmergic Building Algorithms en_US
dc.type Thesis en_US
dc.degree.programme Bioinformatics en_US
dc.degree.name Master of Science en_US
dc.degree.department Department of Mathematics and Statistics en_US


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Attribution-NonCommercial-ShareAlike 2.5 Canada Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 2.5 Canada