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dc.contributor.advisorSnow, Christopher
dc.contributor.authorLunt, Mark
dc.contributor.committeememberFisk, Nick
dc.contributor.committeememberBen-Hur, Asa
dc.date.accessioned2015-08-27T03:57:27Z
dc.date.available2017-06-03T03:57:27Z
dc.date.issued2015
dc.description2015 Spring.
dc.descriptionIncludes bibliographical references.
dc.description.abstractRecombination of protein structural fragments, in combination with regression-based scoring schemes, provides an alternative to existing iterative strategies for conducting a search over protein conformations. We developed software to define astronomically large combinatorial protein conformation search spaces, and to efficiently search those spaces. We demonstrate that such methods may be applicable to the structure prediction of cytochrome P450 chimeras. More generally, we demonstrate that such methods can be used to produce high-quality protein structural models given only low-resolution X-ray diffraction data.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifier.urihttp://hdl.handle.net/10217/167036
dc.languageEnglish
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019 - CSU Theses and Dissertations
dc.rightsCopyright of the original work is retained by the author.
dc.subjectrecombination
dc.subjectprotein
dc.subjectregression
dc.titleSoftware for the use of protein fragment recombination and regression in protein structure determination and design
dc.typeText
dcterms.embargo.expires2017-06-03
dcterms.rights.dplaThe copyright and related rights status of this Item has not been evaluated (https://rightsstatements.org/vocab/CNE/1.0/). Please refer to the organization that has made the Item available for more information.
thesis.degree.disciplineChemical and Biological Engineering
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)


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