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• W2079578946 abstract "We developed an informatic method to identify tandem mass spectra composed of chemically cross-linked peptides from those of linear peptides and to assign sequence to each of the two unique peptide sequences. For a given set of proteins the key software tool, xComb, combs through all theoretically feasible cross-linked peptides to create a database consisting of a subset of all combinations represented as peptide FASTA files. The xComb library of select theoretical cross-linked peptides may then be used as a database that is examined by a standard proteomic search engine to match tandem mass spectral data sets to identify cross-linked peptides. The database search may be conducted against as many as 50 proteins with a number of common proteomic search engines, e.g. Phenyx, Sequest, OMSSA, Mascot and X!Tandem. By searching against a peptide library of linearized, cross-linked peptides, rather than a linearized protein library, search times are decreased and the process is decoupled from any specific search engine. A further benefit of decoupling from the search engine is that protein cross-linking studies may be conducted with readily available informatics tools for which scoring routines already exist within the proteomic community." @default.
• W2079578946 created "2016-06-24" @default.
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• W2079578946 date "2010-04-16" @default.
• W2079578946 modified "2023-10-16" @default.
• W2079578946 title "xComb: A Cross-Linked Peptide Database Approach to Protein−Protein Interaction Analysis" @default.
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• W2079578946 doi "https://doi.org/10.1021/pr9011816" @default.
• W2079578946 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/2884221" @default.
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