| Literature DB >> 25429922 |
David C Dallas1, Andres Guerrero, Evan A Parker, Randall C Robinson, Junai Gan, J Bruce German, Daniela Barile, Carlito B Lebrilla.
Abstract
Peptidomics is an emerging field branching from proteomics that targets endogenously produced protein fragments. Endogenous peptides are often functional within the body-and can be both beneficial and detrimental. This review covers the use of peptidomics in understanding digestion, and identifying functional peptides and biomarkers. Various techniques for peptide and glycopeptide extraction, both at analytical and preparative scales, and available options for peptide detection with MS are discussed. Current algorithms for peptide sequence determination, and both analytical and computational techniques for quantification are compared. Techniques for statistical analysis, sequence mapping, enzyme prediction, and peptide function, and structure prediction are explored.Entities:
Keywords: Functional prediction; MS; Peptidomics; Quantitation; Structure prediction; Systems biology
Mesh:
Substances:
Year: 2015 PMID: 25429922 PMCID: PMC4371869 DOI: 10.1002/pmic.201400310
Source DB: PubMed Journal: Proteomics ISSN: 1615-9853 Impact factor: 3.984