title: SALSA: a pattern recognition algorithm to detect electrophile-adducted peptides by automated evaluation of CID spectra in LC-MS-MS analyses.
abstract: A pattern recognition algorithm called SALSA (scoring algorithm for spectral analysis) has been developed to rapidly screen large numbers of peptide MS-MS spectra for fragmentation characteristics indicative of specific peptide modifications. The algorithm facilitates sensitive and specific detection of modified peptides at low abundance in an enzymatic protein digest. SALSA can simultaneously score multiple user-specified search criteria, including product ions, neutral losses, charged losses, and ion pairs that are diagnostic of specific peptide modifications. Application of SALSA to the detection of peptide adducts of the electrophiles dehydromonocrotaline, benzoquinone, and iodoacetic acid permitted their detection in a complex tryptic peptide digest mixture. SALSA provides superior detection of adducted peptides compared to conventional tandem MS precursor ion or neutral loss scans.
authors.affiliation: Southwest Environmental Health Sciences Center and Department of Pharmacology & Toxicology, College of Pharmacy, University of Arizona, Tucson, Arizona 85721, USA.
authors.forename: B T
authors.initials: BT
authors.lastname: Hansen
authors.forename: J A
authors.initials: JA
authors.lastname: Jones
authors.forename: D E
authors.initials: DE
authors.lastname: Mason
authors.forename: D C
authors.initials: DC
authors.lastname: Liebler
mesh_terms: D000465:Algorithms; D002853:Chromatography, Liquid / Q000379:methods*; D013058:Mass Spectrometry / Q000379:methods*; D010363:Pattern Recognition, Automated; D010455:Peptides / Q000737:chemistry; D011506:Proteins / Q000737:chemistry
chemical_list: D010455:Peptides; D011506:Proteins