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

Proteomics. 2024 Sep;24(17):e2300385. doi: 10.1002/pmic.202300385. Epub 2024 Jul 12.

Abstract

The 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.

Keywords: crosslinking; mass spectrometry; mzIdentML; proteomics; standards.

MeSH terms

  • Cross-Linking Reagents* / chemistry
  • Databases, Protein
  • Mass Spectrometry* / methods
  • Peptides / analysis
  • Peptides / chemistry
  • Proteins / chemistry
  • Proteomics* / methods
  • Software

Substances

  • Cross-Linking Reagents
  • Peptides
  • Proteins