Title
Current trends in computational inference from mass spectrometry-based proteomics.
Abstract
Mass spectrometry offers a high-throughput approach to quantifying the proteome associated with a biological sample and hence has become the primary approach of proteomic analyses. Computation is tightly coupled to this advanced technological platform as a required component of not only peptide and protein identification, but quantification and functional inference, such as protein modifications and interactions. Proteomics faces several key computational challenges such as identification of proteins and peptides from tandem mass spectra as well as their quantitation. In addition, the application of proteomics to systems biology requires understanding the functional proteome, including how the dynamics of the cell change in response to protein modifications and complex interactions between biomolecules. This review presents an overview of recently developed methods and their impact on these core computational challenges currently facing proteomics.
Year
DOI
Venue
2007
10.1093/bib/bbm023
BRIEFINGS IN BIOINFORMATICS
Keywords
Field
DocType
mass spectrometry,proteomics,peptide identification,post-translational modification,protein interaction
Biomolecule,Biology,Proteomics,Protein identification,Inference,Posttranslational modification,Systems biology,Proteome,Mass spectrometry,Bioinformatics
Journal
Volume
Issue
ISSN
8
5
1467-5463
Citations 
PageRank 
References 
4
0.54
20
Authors
2
Name
Order
Citations
PageRank
Bobbie-jo M. Webb-robertson1939.14
William R. Cannon26910.68