title: Crescendo: A Protein Sequence Database Search Engine for Tandem Mass Spectra.
abstract: A search engine that discovers more peptides reliably is essential to the progress of the computational proteomics. We propose two new scoring functions (L- and P-scores), which aim to capture similar characteristics of a peptide-spectrum match (PSM) as Sequest and Comet do. Crescendo, introduced here, is a software program that implements these two scores for peptide identification. We applied Crescendo to test datasets and compared its performance with widely used search engines, including Mascot, Sequest, and Comet. The results indicate that Crescendo identifies a similar or larger number of peptides at various predefined false discovery rates (FDR). Importantly, it also provides a better separation between the true and decoy PSMs, warranting the future development of a companion post-processing filtering algorithm.
authors.affiliation: Department of Biochemistry, The University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA, Jianqi.Wang@gmail.com.
authors.forename: Jianqi
authors.initials: J
authors.lastname: Wang
authors.forename: Yajie
authors.initials: Y
authors.lastname: Zhang
authors.forename: Yonghao
authors.initials: Y
authors.lastname: Yu
mesh_terms: D030562:Databases, Protein; D010446:Peptide Fragments / Q000737:chemistry; D040901:Proteomics / Q000379:methods*; D057386:Search Engine; D012984:Software; D053719:Tandem Mass Spectrometry
chemical_list: D010446:Peptide Fragments