xComb: a cross-linked peptide database approach to protein-protein interaction analysis.
xComb: a cross-linked peptide database approach to protein-protein interaction analysis.
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DOI:
10.1021/pr9011816
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发表时间:
2010-05-07
影响因子:
4.4
通讯作者:
Goodlett, David R.
中科院分区:
文献类型:
--
作者:
Panchaud, Alexandre;Singh, Pragya;Shaffer, Scott A.;Goodlett, David R.
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 datasets 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.
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