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Mascot identifies proteins by interpreting mass spectrometry data. The prevailing experimental method for protein identification is a bottom-up approach, where a protein sample is typically digested with trypsin to form smaller peptides. While most proteins are too large, peptides usually fall within the limited mass range that a typical mass ...
The MOWSE algorithm was developed by Darryl Pappin at the Imperial Cancer Research Fund and Alan Bleasby at the SERC Daresbury Laboratory. [2] The probability-based MOWSE score formed the basis of development of Mascot, a proprietary software for protein identification from mass spectrometry data.
These methods determined the mass of peptides using mass spectrometry, and then used the mass to search protein databases to identify the proteins [3] [4] In 1999 a more complex program was released called Mascot that integrated three types of protein/database searches: peptide molecular weights, tandem mass spectrometry from one or more ...
SEQUEST is a MS data analysis program used for protein identification. It correlates collections of tandem mass spectra to peptide sequences that have been generated from databases of protein sequences. [21] SIMS Open source: SIMS was designed to perform unrestricted PTM searches over tandem mass spectra. [22] SimTandem Freeware
The mass spectrum serves as a fingerprint in the sense that it is a pattern that can serve to identify the protein. [1] The method for forming a peptide-mass fingerprint, developed in 1993, consists of isolating a protein, breaking it down into individual peptides, and determining the masses of the peptides through some form of mass ...
Eukaryotic gene-finding system: Eukaryotes [31] GrailEXP Predicts exons, genes, promoters, polyas, CpG islands, EST similarities, and repeat elements in DNA sequence: Human, Mus musculus, Arabidopsis thaliana, Drosophila melanogaster [32] [33] mGene Support-vector machine (SVM) based system to find genes: Eukaryotes [34] mGene.ngs
The "fingerprint" of each peptide's fragmentation mass spectrum is used to identify the protein from which they derive by searching against a sequence database with commercially available software (e.g. Sequest or Mascot). [9] Examples of sequence databases are the Genpept database or the PIR database. [12]
The software evaluates protein sequences from a database to compute the list of peptides that could result from each. The peptide's intact mass is known from the mass spectrum, and Sequest uses this information to determine the set of candidate peptides sequences that could meaningfully be compared to the spectrum by including only those near ...