An algorithm for the identification of proteins using peptides with ragged <i>N</i>‐ or <i>C</i>‐termini generated by sequential endo‐ and exopeptidase digestions

Abstract

Abstract We have developed an algorithm (MassDynSearch) for identifying proteins using a combination of peptide masses with small associated sequences (tags). Unlike the approach developed by Matthias Mann, ‘Tag searching’, in which the sequence tags are generated by gas phase fragmentation of peptides in a mass spectrometer, ‘Rag Tag’ searching uses peptide tags which are generated enzymatically or chemically. The protein is digested either chemically or with an endopeptidase and the resultant mixture is then subjected to partial exopeptidase degradation. The mixture is analyzed by matrix assisted laser desorption and ionization time of flight mass spectrometry and a list of intact peptide masses is generated, each associated with a set of degradation product masses which serve as unique tags. These ‘tagged masses’ are used as the input to an algorithm we have written, MassDynSearch, which searches protein and DNA databases for proteins which contain similar tagged motifs. The method is simple, rapid and can be fully automated. The main advantage of this approach is that the specificity of the initial digestion is unimportant since multiple peptides with tags are used to search the database. This is especially useful for proteins like membrane, cytoskeletal, and other proteins where specific endopeptidases are less efficient and lower specificity proteases such as chymotrypsin, pepsin, and elastase must be used.

Keywords

Affiliated Institutions

• ETH Zurich CH

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