Xilmass: a new approach towards the identification of cross-linked peptides
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ABSTRACT: 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.
INSTRUMENT(S): Q Exactive
ORGANISM(S): Homo Sapiens (ncbitaxon:9606)
SUBMITTER:
Lennart Martens
PROVIDER: MSV000080758 | MassIVE | Wed Mar 29 07:19:00 BST 2017
SECONDARY ACCESSION(S): PXD003880
REPOSITORIES: MassIVE
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