Chemical cross-linking coupled with mass spectrometry plays an important role in unravelling protein interactions, especially weak and transient interactions. Moreover, cross-linking complements several structure determination approaches such as cryo-EM. Although several computational approaches are available for the annotation of spectra obtained from cross-linked peptides, there remains room for improvement. Here, we present Xilmass, a novel algorithm to identify cross-linked peptides that introduces two new concepts: (i) the cross-linked peptides are represented in a novel way in the search database that explicitly encodes cross-linking sites and (ii) the scoring function from the Andromeda algorithm was adapted to score against a theoretical MS spectrum that contains the peaks from all the possible fragment ions of a cross-linked peptide pair. The performance of Xilmass was subsequently evaluated against the recently published Kojak and the popular pLink algorithms on a data set that contains calmodulin-plectin.
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: human ; calmodulin ; the actin-binding domain (ABD) of plectin ; cross-linking ; DSS
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Principal Investigators: (in alphabetical order) |
Lennart Martens, Group Leader, N/A |
| Submitting User: | ccms |
Y?lmaz ?, Drepper F, Hulstaert N, ?erni? M, Gevaert K, Economou A, Warscheid B, Martens L, Vandermarliere E.
Xilmass: A New Approach toward the Identification of Cross-Linked Peptides.
Anal. Chem. 2016 Oct 18;88(20):9949-9957. Epub 2016 Sep 28.
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