MRMPath and MRMutation, Facilitating Discovery of Mass Transitions for Proteotypic Peptides in Biological Pathways Using a Bioinformatics Approach
Identifieur interne : 000323 ( Main/Exploration ); précédent : 000322; suivant : 000324MRMPath and MRMutation, Facilitating Discovery of Mass Transitions for Proteotypic Peptides in Biological Pathways Using a Bioinformatics Approach
Auteurs : Chiquito Crasto [États-Unis] ; Chandrahas Narne [États-Unis] ; Mikako Kawai [États-Unis] ; Landon Wilson [États-Unis] ; Stephen Barnes [États-Unis]Source :
- Advances in Bioinformatics [ 1687-8027 ] ; 2013.
Abstract
Quantitative proteomics applications in mass spectrometry depend on the knowledge of the mass-to-charge ratio (
Url:
DOI: 10.1155/2013/527295
PubMed: 23424586
PubMed Central: 3570921
Affiliations:
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<series><title level="j">Advances in Bioinformatics</title>
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<front><div type="abstract" xml:lang="en"><p>Quantitative proteomics applications in mass spectrometry depend on the knowledge of the mass-to-charge ratio (<italic>m/z</italic>
) values of proteotypic peptides for the proteins under study and their product ions. MRMPath and MRMutation, web-based bioinformatics software that are platform independent, facilitate the recovery of this information by biologists. MRMPath utilizes publicly available information related to biological pathways in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. All the proteins involved in pathways of interest are recovered and processed <italic>in silico</italic>
to extract information relevant to quantitative mass spectrometry analysis. Peptides may also be subjected to automated BLAST analysis to determine whether they are proteotypic. MRMutation catalogs and makes available, following processing, known (mutant) variants of proteins from the current UniProtKB database. All these results, available via the web from well-maintained, public databases, are written to an Excel spreadsheet, which the user can download and save. MRMPath and MRMutation can be freely accessed. As a system that seeks to allow two or more resources to interoperate, MRMPath represents an advance in bioinformatics tool development. As a practical matter, the MRMPath automated approach represents significant time savings to researchers.</p>
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<name sortKey="Barnes, Stephen" sort="Barnes, Stephen" uniqKey="Barnes S" first="Stephen" last="Barnes">Stephen Barnes</name>
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<name sortKey="Barnes, Stephen" sort="Barnes, Stephen" uniqKey="Barnes S" first="Stephen" last="Barnes">Stephen Barnes</name>
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