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Title:From Prohormones to Neuropeptides: Mass Spectrometric and Bioinformatic Approaches
Author(s):Hummon, Amanda B.
Doctoral Committee Chair(s):Sweedler, Jonathan V.
Department / Program:Chemistry
Discipline:Chemistry
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Chemistry, Analytical
Abstract:To test the predictive models on a larger dataset, another organism was studied. The genome of the western honey bee, Apis mellifera, is being sequenced. After deducing the neuropeptide genes through bioinformatic and mass spectrometric approaches, the neuropeptides are predicted with the Aplysia-based algorithms. To verify all predictions, the peptide sequences are confirmed by electrospray quadrupole mass spectrometry (ESI-Q) TOF-MS. Employing information from additional species will help to test our current prediction schemes and develop more accurate algorithms.
Issue Date:2004
Type:Text
Language:English
Description:212 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004.
URI:http://hdl.handle.net/2142/84152
Other Identifier(s):(MiAaPQ)AAI3153322
Date Available in IDEALS:2015-09-25
Date Deposited:2004


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