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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.
Protein Prospector is a package of about twenty proteomic analysis tools developed at the University of California San Francisco. The tandem mass spectrometry searching software is Batch-Tag and Batch-Tag Web, with the results processed and displayed using Search Compare. RAId Lost
This further challenges the identification of the peptide sequence by means of conventional database matching approaches. Together with peptide fragmentation spectra of poor quality or high complexity (due to co-isolation or sensitivity limitations), this leaves in a conventional shotgun proteomics experiment many sequencing spectra unidentified.
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A typical workflow of a peptide mass fingerprinting experiment. Peptide mass fingerprinting (PMF), also known as protein fingerprinting, is an analytical technique for protein identification in which the unknown protein of interest is first cleaved into smaller peptides, whose absolute masses can be accurately measured with a mass spectrometer such as MALDI-TOF or ESI-TOF. [1]
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