Bioinformatic assessment of mass spectrometric chemical derivatisation techniques for proteome database searching.
Identification of proteins from the mass spectra of peptide fragments generated by proteolytic cleavage using database searching has become one of the most powerful techniques in proteome science, capable of rapid and efficient protein identification. Using computer simulation, we have studied how the application of chemical derivatisation techniques may improve the efficiency of protein identification from mass spectrometric data. These approaches enhance ion yield and lead to the promotion of specific ions and fragments, yielding additional database search information. The impact of three alternative techniques has been assessed by searching representative proteome databases for both single proteins and simple protein mixtures. For example, by reliably promoting fragmentation of singly-charged peptide ions at aspartic acid residues after homoarginine derivatisation, 82% of yeast proteins can be unambiguously identified from a single typical peptide-mass datum, with a measured mass accuracy of 50 ppm, by using the associated secondary ion data. The extra search information also provides a means to confidently identify proteins in protein mixtures where only limited data are available. Furthermore, the inclusion of limited sequence information for the peptides can compensate and exceed the search efficiency available via high accuracy searches of around 5 ppm, suggesting that this is a potentially useful approach for simple protein mixtures routinely obtained from two-dimensional gels.
Sidhu
K S
KS
Department of Biomolecular Sciences, UMIST, Manchester, UK.
Sangvanich
P
P
Brancia
F L
FL
Sullivan
A G
AG
Gaskell
S J
SJ
Wolkenhaue
O
O
Oliver
S G
SG
Hubbard
S J
SJ
D000818:Animals; D017173:Caenorhabditis elegans / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D019992:Databases as Topic; D015180:Electrophoresis, Gel, Two-Dimensional / Q000379:methods; D004926:Escherichia coli / Q000378:metabolism; D006193:Haemophilus influenzae / Q000378:metabolism; D013058:Mass Spectrometry / Q000379:methods*; D010455:Peptides / Q000737:chemistry; D017434:Protein Structure, Tertiary; D011506:Proteins / Q000032:analysis*; D012441:Saccharomyces cerevisiae / Q000378:metabolism
D010455:Peptides; D011506:Proteins