| Literature DB >> 19167528 |
Andrej Shevchenko1, Cristina-Maria Valcu, Magno Junqueira.
Abstract
Homology-driven proteomics aims at exploring the proteomes of organisms with unsequenced genomes that, despite rapid genomic sequencing progress, still represent the overwhelming majority of species in the biosphere. Methodologies have been developed to enable automated LC-MS/MS identifications of unknown proteins, which rely on the sequence similarity between the fragmented peptides and reference database sequences from phylogenetically related species. However, because full sequences of matched proteins are not available and matching specificity is reduced, estimating protein abundances should become the obligatory element of homology-driven proteomics pipelines to circumvent the interpretation bias towards proteins from evolutionary conserved families.Entities:
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Year: 2009 PMID: 19167528 PMCID: PMC2713397 DOI: 10.1016/j.jprot.2009.01.012
Source DB: PubMed Journal: J Proteomics ISSN: 1874-3919 Impact factor: 4.044