Typically, detection of protein sequences in collision-induced dissociation （CID） tandem MS （MS2） dataset is performed by mapping identified peptide ions back to protein sequence by using the protein database sear...Typically, detection of protein sequences in collision-induced dissociation （CID） tandem MS （MS2） dataset is performed by mapping identified peptide ions back to protein sequence by using the protein database search （PDS） engine. Finding a particular peptide sequence of interest in CID MS2 records very often requires manual evaluation of the spectrum, regardless of whether the peptide-associated MS2 scan is identified by PDS algorithm or not. We have developed a com- pact cross-platform database-free command-line utility, pepgrep, which helps to find an MS2 finger- print for a selected peptide sequence by pattern-matching of modelled MS2 data using Peptide-to- MS2 scoring algorithm, pepgrep can incorporate dozens of mass offsets corresponding to a variety of post-translational modifications （PTMs） into the algorithm. Decoy peptide sequences are used with the tested peptide sequence to reduce false-positive results. The engine is capable of screening an MS2 data file at a high rate when using a cluster computing environment. The matched MS2 spectrum can be displayed by using built-in graphical application programming interface （API） or optionally recorded to file. Using this algorithm, we were able to find extra peptide sequences in studied CID spectra that were missed by PDS identification. Also we found pepgrep especially useful for examining a CID of small fractions of peptides resulting from, for example, affinity puri- fication techniques. The peptide sequences in such samples are less likely to be positively identified by using routine protein-centric algorithm implemented in PDS. The software is freely available at http：//bsproteomics.essex.ac.uk：8080/data/download/pepgrep- 1.4.tgz.展开更多
文摘Typically, detection of protein sequences in collision-induced dissociation （CID） tandem MS （MS2） dataset is performed by mapping identified peptide ions back to protein sequence by using the protein database search （PDS） engine. Finding a particular peptide sequence of interest in CID MS2 records very often requires manual evaluation of the spectrum, regardless of whether the peptide-associated MS2 scan is identified by PDS algorithm or not. We have developed a com- pact cross-platform database-free command-line utility, pepgrep, which helps to find an MS2 finger- print for a selected peptide sequence by pattern-matching of modelled MS2 data using Peptide-to- MS2 scoring algorithm, pepgrep can incorporate dozens of mass offsets corresponding to a variety of post-translational modifications （PTMs） into the algorithm. Decoy peptide sequences are used with the tested peptide sequence to reduce false-positive results. The engine is capable of screening an MS2 data file at a high rate when using a cluster computing environment. The matched MS2 spectrum can be displayed by using built-in graphical application programming interface （API） or optionally recorded to file. Using this algorithm, we were able to find extra peptide sequences in studied CID spectra that were missed by PDS identification. Also we found pepgrep especially useful for examining a CID of small fractions of peptides resulting from, for example, affinity puri- fication techniques. The peptide sequences in such samples are less likely to be positively identified by using routine protein-centric algorithm implemented in PDS. The software is freely available at http：//bsproteomics.essex.ac.uk：8080/data/download/pepgrep- 1.4.tgz.
