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. Contact: © 2013 The Author .
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CITATION STYLE
Mayne, S. L. N., & Patterton, H. G. (2014). Anchorms: A bioinformatics tool to derive structural information from the mass spectra of cross-linked protein complexes. Bioinformatics, 30(1), 125–126. https://doi.org/10.1093/bioinformatics/btt617
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