title: A face in the crowd: recognizing peptides through database search.
abstract: Peptide identification via tandem mass spectrometry sequence database searching is a key method in the array of tools available to the proteomics researcher. The ability to rapidly and sensitively acquire tandem mass spectrometry data and perform peptide and protein identifications has become a commonly used proteomics analysis technique because of advances in both instrumentation and software. Although many different tandem mass spectrometry database search tools are currently available from both academic and commercial sources, these algorithms share similar core elements while maintaining distinctive features. This review revisits the mechanism of sequence database searching and discusses how various parameter settings impact the underlying search.
authors.affiliation: University of Washington, Department of Genome Sciences, Seattle, WA 98195, USA. engj@u.washington.edu
authors.forename: Jimmy K
authors.initials: JK
authors.lastname: Eng
authors.forename: Brian C
authors.initials: BC
authors.lastname: Searle
authors.forename: Karl R
authors.initials: KR
authors.lastname: Clauser
authors.forename: David L
authors.initials: DL
authors.lastname: Tabb
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D000818:Animals; D030562:Databases, Protein; D006801:Humans; D008970:Molecular Weight; D010446:Peptide Fragments / Q000737:chemistry*; D011499:Protein Processing, Post-Translational; D020543:Proteome / Q000737:chemistry; D057386:Search Engine; D053719:Tandem Mass Spectrometry / Q000379:methods
chemical_list: D010446:Peptide Fragments; D020543:Proteome