title: Correctness of protein identifications of Bacillus subtilis proteome with the indication on potential false positive peptides supported by predictions of their retention times.
abstract: The predictive capability of the retention time prediction model based on quantitative structure-retention relationships (QSRR) was tested. QSRR model was derived with the use of set of peptides identified with the highest scores and originated from 8 known proteins annotated as model ones. The predictive ability of the QSRR model was verified with the use of a Bacillus subtilis proteome digest after separation and identification of the peptides by LC-ESI-MS/MS. That ability was tested with three sets of testing peptides assigned to the proteins identified with different levels of confidence. First, the set of peptides identified with the highest scores achieved in the search were considered. Hence, proteins identified on the basis of more than one peptide were taken into account. Furthermore, proteins identified on the basis of just one peptide were also considered and, depending on the possessed scores, both above and below the assumed threshold, were analyzed in two separated sets. The QSRR approach was applied as the additional constraint in proteomic research verifying results of MS/MS ion search and confirming the correctness of the peptides identifications along with the indication of the potential false positives.
authors.affiliation: Department of Pharmaceutical Chemistry, Medical University of Gdańsk, 80-416 Gdańsk, Poland.
authors.forename: Katarzyna
authors.initials: K
authors.lastname: Macur
authors.forename: Tomasz
authors.initials: T
authors.lastname: Baczek
authors.forename: Roman
authors.initials: R
authors.lastname: Kaliszan
authors.forename: Caterina
authors.initials: C
authors.lastname: Temporini
authors.forename: Federica
authors.initials: F
authors.lastname: Corana
authors.forename: Gabriella
authors.initials: G
authors.lastname: Massolini
authors.forename: Jolanta
authors.initials: J
authors.lastname: Grzenkowicz-Wydra
authors.forename: Michał
authors.initials: M
authors.lastname: Obuchowski
mesh_terms: D000595:Amino Acid Sequence; D001412:Bacillus subtilis / Q000737:chemistry*; D001426:Bacterial Proteins / Q000032:analysis* / Q000737:chemistry; D008954:Models, Biological; D008969:Molecular Sequence Data; D010455:Peptides / Q000032:analysis* / Q000737:chemistry; D020543:Proteome / Q000032:analysis* / Q000737:chemistry; D021281:Quantitative Structure-Activity Relationship; D015203:Reproducibility of Results; D013997:Time Factors
chemical_list: D001426:Bacterial Proteins; D010455:Peptides; D020543:Proteome