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Use of mass spectrometric molecular weight information to identify proteins in sequence databases
930
Citations
15
References
1993
Year
Molecular BiologyBioinformatics DatabaseTotal Molecular WeightBioanalysisBiostatisticsProteomicsBiological DatabaseBiochemistryOmicsComputational Mass SpectrometryBioinformaticsProtein BioinformaticsSequence DatabasesNatural SciencesPeptide LibraryMass SpectrometryProtein Mass SpectrometryProtein EngineeringMolecular WeightMedicine
Recent ionization advances enable intact protein mass measurement, while sequencing progress has exponentially expanded protein databases. The study examines whether mass spectrometry data can be used to identify proteins within these databases. The authors perform database searches using partial mass spectrometric peptide maps to increase specificity and tolerate errors in both data and database entries. Searching by total molecular weight is simple and sometimes sufficient, but using four to six high‑accuracy peptides yields a useful search that will become increasingly powerful as sequence databases grow.
During the last decade new ionization techniques have made it possible to measure the molecular weight of many intact proteins by mass spectrometry, and they have made it much easier to obtain a mass spectrometric peptide map of a protein. At the same time advances in protein and DNA sequencing technology are resulting in an exponential increase in the number of sequences deposited in databases. Here we investigate the possibility to use mass spectrometric data to identify proteins in databases. Searching a database by total molecular weight is found to be an easy and sometimes sufficient approach. For more specificity and for error tolerance in both the mass spectrometric data and the database information we search by partial mass spectrometric peptide map of the protein. In general, just four to six proteolytic peptides measured with a mass accuracy between 0.1 and 0.01% allow a useful search of databases such as the Protein Identification Resource (PIR). As the size of DNA and protein sequence databases grows, protein identification by partial mass spectrometric peptide maps should become increasingly powerful and may become a general method to identify and characterize proteins.
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