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University of Illinois at Urbana-Champaign
From Prohormones to Neuropeptides: Mass Spectrometric and Bioinformatic Approaches
Abstract
dc:descriptionTo 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.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Chemistry
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Hummon, Amanda B.
- Contributors dc:contributor
-
- Sweedler, Jonathan V.
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI3153322
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/84152