Data Requirements for Protein Identification Using Chemically-Assisted Fragmentation and Tandem Mass Spectrometry
| Autor: | Thomas Keough, Dionne D. Swift, Kenton D. Juhlin, Martin P. Lacey, Paul Elliott Correa |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Proteomics
chemistry.chemical_classification Chromatography 010401 analytical chemistry Proteins Reproducibility of Results Peptide General Medicine Computational biology 010402 general chemistry Tandem mass spectrometry Mass spectrometry Peptide Mapping 01 natural sciences Mass Spectrometry Atomic and Molecular Physics and Optics 0104 chemical sciences Protein sequencing Fragmentation (mass spectrometry) chemistry Sequence Analysis Protein Peptide spectral library Peptide sequence Spectroscopy |
| Zdroj: | European Journal of Mass Spectrometry. 11:161-167 |
| ISSN: | 1751-6838 1469-0667 |
| Popis: | Many laboratories identify proteins by searching tandem mass spectrometry data against genomic or protein sequence databases. These database searches typically use the measured peptide masses or the derived peptide sequence and, in this paper, we focus on the latter. We study the minimum peptide sequence data requirements for definitive protein identification from protein sequence databases. Accurate mass measurements are not needed for definitive protein identification, even when a limited amount of sequence data is available for searching. This information has implications for the mass spectrometry performance (and cost), data base search strategies and proteomics research. |
| Databáze: | OpenAIRE |
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