From Prohormones to Neuropeptides: Mass Spectrometric and Bioinformatic Approaches
Hummon, Amanda B.
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https://hdl.handle.net/2142/84152
Description
Title
From Prohormones to Neuropeptides: Mass Spectrometric and Bioinformatic Approaches
Author(s)
Hummon, Amanda B.
Issue Date
2004
Doctoral Committee Chair(s)
Sweedler, Jonathan V.
Department of Study
Chemistry
Discipline
Chemistry
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Chemistry, Analytical
Language
eng
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.
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