title: Interrogation of MS/MS search data with an pI Filter algorithm to increase protein identification success.
abstract: In high-throughput proteomics, the bottom-up approach has become a widely used method for the identification of proteins that is based on tryptic peptide MS/MS analysis. Separation methodologies that use IEF of tryptic peptides have recently been introduced and provide an extra dimension of peptide separation. In addition to its great fractionation capability, tryptic peptide prefractionation by IEF can also increase the protein identification success. The pI information of the peptide gained can be successfully used in a post-database search filtering step. We introduce a filtering algorithm that is based on the comparison of the experimental and theoretical pI's to validate peptide identifications by MS/MS data search engines.
authors.affiliation: Max Planck Institute of Psychiatry, Munich, Germany.
authors.forename: Nkemdilim C
authors.initials: NC
authors.lastname: Uwaje
authors.forename: Nikola S
authors.initials: NS
authors.lastname: Mueller
authors.forename: Giuseppina
authors.initials: G
authors.lastname: Maccarrone
authors.forename: Christoph W
authors.initials: CW
authors.lastname: Turck
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D006868:Hydrolysis; D016247:Information Storage and Retrieval / Q000379:methods*; D007525:Isoelectric Focusing; D007526:Isoelectric Point; D010455:Peptides / Q000737:chemistry; D011506:Proteins / Q000737:chemistry*; D040901:Proteomics / Q000379:methods; D012984:Software; D012986:Software Validation; D053719:Tandem Mass Spectrometry; D014357:Trypsin
chemical_list: D010455:Peptides; D011506:Proteins; D014357:Trypsin