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oai:www.ideals.illinois.edu:2142/84152 2023-07-11 col_2142_5131 col_2142_14789 com_2142_5130 com_2142_14788 com_2142_8903

Sweedler, Jonathan V. Hummon, Amanda B. 2015-09-25T22:13:13Z 2015-09-25T22:13:13Z 10000-01-01 2004 2004 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. Made available in DSpace on 2015-09-25T22:13:13Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3153322.pdf: 11086605 bytes, checksum: 89fc159635c6dc8f10dfe213d8baad6c (MD5) Previous issue date: 2004 Embargo set by: Seth Robbins for item 85433 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 212 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004. http://hdl.handle.net/2142/84152 (MiAaPQ)AAI3153322 eng Chemistry, Analytical From Prohormones to Neuropeptides: Mass Spectrometric and Bioinformatic Approaches text Chemistry Chemistry University of Illinois at Urbana-Champaign Dissertation Ph.D.