AnchorMS: a bioinformatics tool to derive structural information from the mass spectra of cross-linked protein complexes

Bioinformatics. 2014 Jan 1;30(1):125-6. doi: 10.1093/bioinformatics/btt617. Epub 2013 Oct 30.

Abstract

Summary: Mass spectrometry is being increasingly used in the structural elucidation of mega-Dalton protein complexes in an approach termed MS3D, referring to the application of MS to the study of macromolecular structures. This involves the identification of cross-linked residues in the constituent proteins of chemically cross-linked multi-subunit complexes. AnchorMS was developed to simplify MS3D studies by identifying cross-linked peptides in complex peptide mixtures, and to determine the specific residues involved in each cross-link. When identifying cross-linked peptide pairs (CLPP), AnchorMS implements a mathematical model to exclude false positives by using a dynamic score threshold to estimate the number of false-positive peak matches expected in an MS/MS spectrum. This model was derived from CLPPs with randomly generated sequences. AnchorMS does not require specific sample labeling or pre-treatment, and AnchorMS is especially suited for discriminating between CLPPs that differ only in the cross-linked residue pairs.

Availability: AnchorMS was coded in Python, and is available as a free web service at cbio.ufs.ac.za/AnchorMS.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computational Biology / methods*
  • False Positive Reactions
  • Humans
  • Mass Spectrometry / methods*
  • Peptides / analysis*
  • Peptides / chemistry
  • Proteins / chemistry*
  • Software

Substances

  • Peptides
  • Proteins