Estimating Probabilities of Peptide Assignments to LC-FTICR-MS Observations

Conference · Mon Jun 21 04:00:00 EDT 2004

OSTI ID:15009510

Anderson, Kevin K; Monroe, Matthew E; Daly, Don S; and Homayoun Valafar, Faramarz Valafar

One of the grand challenges in the post-genomic era is the characterization of the proteins expressed in a cell under specific conditions, proteomics. A promising technology for high-throughput proteomics is mass spectrometry (MS). The accuracy and certainty of the determinations of peptide identities and abundances provided by MS are important to systems biology research. After a tryptically digested protein mixture is analyzed by LC-FTICR-MS, the observed masses and normalized elution times of the detected features are matched to theoretical masses and elution times of known peptides listed in a large database. Assuming a bivariate normal probability distribution on the uncertainties in the masses and the normalized elution times, the probability of a correct match is estimated for each peptide in the reference database using statistical classification methods.

• Research Organization: Pacific Northwest National Lab., Richland, WA (US)
• Sponsoring Organization: US Department of Energy (US)
• DOE Contract Number: AC06-76RL01830
• OSTI ID: 15009510
• Report Number(s): PNNL-SA-42106; KP1102010
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
ACCURACY
BIOLOGY
CLASSIFICATION
DISTRIBUTION
MASS SPECTROSCOPY
MEDICINE
MIXTURES
PEPTIDE
PEPTIDES
PROBABILITY
PROTEINS
STATISTICS