mzIdentML 1.3.0 – Essential progress on the support of crosslinking and other identifications based on multiple spectra

Author:

Combe Colin W.12ORCID,Kolbowski Lars2ORCID,Fischer Lutz2ORCID,Koskinen Ville3,Klein Joshua4ORCID,Leitner Alexander5ORCID,Jones Andrew R.6ORCID,Vizcaíno Juan Antonio7ORCID,Rappsilber Juri12ORCID

Affiliation:

1. Wellcome Centre for Cell Biology School of Biological Sciences University of Edinburgh Edinburgh UK

2. Chair of Bioanalytics Technische Universität Berlin Berlin Germany

3. Matrix Science Ltd London UK

4. Program for Bioinformatics Boston University Boston Massachusetts USA

5. Department of Biology Institute of Molecular Systems Biology, ETH Zürich Zurich Switzerland

6. Department of Biochemistry & Systems Biology University of Liverpool Liverpool UK

7. European Molecular Biology Laboratory European Bioinformatics Institute (EMBL‐EBI) Hinxton Cambridge UK

Abstract

AbstractThe mzIdentML data format, originally developed by the Proteomics Standards Initiative in 2011, is the open XML data standard for peptide and protein identification results coming from mass spectrometry. We present mzIdentML version 1.3.0, which introduces new functionality and support for additional use cases. First of all, a new mechanism for encoding identifications based on multiple spectra has been introduced. Furthermore, the main mzIdentML specification document can now be supplemented by extension documents which provide further guidance for encoding specific use cases for different proteomics subfields. One extension document has been added, covering additional use cases for the encoding of crosslinked peptide identifications. The ability to add extension documents facilitates keeping the mzIdentML standard up to date with advances in the proteomics field, without having to change the main specification document. The crosslinking extension document provides further explanation of the crosslinking use cases already supported in mzIdentML version 1.2.0, and provides support for encoding additional scenarios that are critical to reflect developments in the crosslinking field and facilitate its integration in structural biology. These are: (i) support for cleavable crosslinkers, (ii) support for internally linked peptides, (iii) support for noncovalently associated peptides, and (iv) improved support for encoding scores and the corresponding thresholds.

Funder

Biotechnology and Biological Sciences Research Council

Wellcome Trust

Publisher

Wiley

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