Study of Protein Identification Algorithms and Ammonia Metabolism in Mosquitoes

Persistent Link:
http://hdl.handle.net/10150/193319
Title:
Study of Protein Identification Algorithms and Ammonia Metabolism in Mosquitoes
Author:
Tan, Guanhong
Issue Date:
2006
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
Two database search algorithms, SEQUEST and X!Tandem, were studied in detail. Research results showed that SEQUEST is relatively prone to identify single charged peptides, while X!Tandem is prone to identify highly charged peptides.Peptide fragmentation patterns associated with corresponding structure motifs are incorporated into SEQUEST Replica and X!Tandem Replica. Research results showed that selective cleavage rules for peptide fragmentation help improve peptide identification especially for selectively cleaved peptides. A tool that makes use of the peak intensity information in the experimental spectra is applied after a SEQUEST search to extract correct peptides. Results showed that more peptides could be correctly identified and a low false positive rate (<5%) was introduced by applying this tool after SEQUEST search.A new possible ammonia metabolic pathway in mosquitoes was proposed. Results showed that the major steps along this pathway were confirmed and the detailed transfer pathway of nitrogen was elucidated.
Type:
text; Electronic Thesis
Degree Name:
MS
Degree Level:
masters
Degree Program:
Chemistry; Graduate College
Degree Grantor:
University of Arizona
Advisor:
Wysocki, Vicki H.
Committee Chair:
Wysocki, Vicki H.

Full metadata record

DC FieldValue Language
dc.language.isoENen_US
dc.titleStudy of Protein Identification Algorithms and Ammonia Metabolism in Mosquitoesen_US
dc.creatorTan, Guanhongen_US
dc.contributor.authorTan, Guanhongen_US
dc.date.issued2006en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractTwo database search algorithms, SEQUEST and X!Tandem, were studied in detail. Research results showed that SEQUEST is relatively prone to identify single charged peptides, while X!Tandem is prone to identify highly charged peptides.Peptide fragmentation patterns associated with corresponding structure motifs are incorporated into SEQUEST Replica and X!Tandem Replica. Research results showed that selective cleavage rules for peptide fragmentation help improve peptide identification especially for selectively cleaved peptides. A tool that makes use of the peak intensity information in the experimental spectra is applied after a SEQUEST search to extract correct peptides. Results showed that more peptides could be correctly identified and a low false positive rate (<5%) was introduced by applying this tool after SEQUEST search.A new possible ammonia metabolic pathway in mosquitoes was proposed. Results showed that the major steps along this pathway were confirmed and the detailed transfer pathway of nitrogen was elucidated.en_US
dc.typetexten_US
dc.typeElectronic Thesisen_US
thesis.degree.nameMSen_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineChemistryen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorWysocki, Vicki H.en_US
dc.contributor.chairWysocki, Vicki H.en_US
dc.identifier.proquest1639en_US
dc.identifier.oclc137356189en_US
All Items in UA Campus Repository are protected by copyright, with all rights reserved, unless otherwise indicated.