Xilmass

Xilmass identifies cross-linked peptides from chemical cross-linking coupled with mass spectrometry (MS) data to map protein–protein interactions and support structural analyses such as cryo-electron microscopy (cryo-EM).


Key Features:

  • Explicit encoding of cross-linking sites: Represents cross-linked peptide entries in the search database with explicit encoding of cross-linking sites to enable precise identification of linked residues.
  • Adapted scoring function: Employs an Andromeda-derived scoring function adapted to evaluate theoretical tandem mass spectrometry (MS/MS) spectra including peaks from all possible fragment ions of a cross-linked peptide pair.
  • Distinct and predicted site identification: Identifies both distinct and predicted cross-linked sites in analyzed datasets.

Scientific Applications:

  • Protein–protein interaction mapping: Maps protein–protein interactions, including weak and transient contacts, to inform studies of cellular mechanisms.
  • Complement to structural determination: Provides cross-linking evidence to complement structural determination methods such as cryo-electron microscopy (cryo-EM).

Methodology:

Represents cross-linked peptides with explicit encoding in the search database; uses an Andromeda-derived scoring function to evaluate theoretical MS/MS spectra including all possible fragment ions; and was evaluated against Kojak and pLink using a calmodulin-plectin complex dataset and three additional published datasets.

Topics

Collections

Details

License:
Apache-2.0
Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Added:
5/17/2016
Last Updated:
8/22/2020

Operations

Publications

Yılmaz Ş, Drepper F, Hulstaert N, Černič M, Gevaert K, Economou A, Warscheid B, Martens L, Vandermarliere E. Xilmass: A New Approach toward the Identification of Cross-Linked Peptides. Analytical Chemistry. 2016;88(20):9949-9957. doi:10.1021/acs.analchem.6b01585. PMID:27642655.

PMID: 27642655
Funding: - Deutsche Forschungsgemeinschaft: EXC 294, FOR 1352, FOR 1905 - Universiteit Gent: BOF12/GOA/014 - Fonds Wetenschappelijk Onderzoek: G0C6814N - Seventh Framework Programme: 262067

Documentation