SIM-XL

SIM-XL is a software tool that analyzes cross-linked peptides obtained through chemical cross-linking experiments and tandem mass spectrometry. It addresses the challenge of correctly identifying covalently linked peptides by introducing a new approach to reduce the search space, improving speed and sensitivity. The software utilizes reporter ions to select tandem mass spectra derived from cross-linked peptides, a feature not present in other tools. Additionally, SIM-XL provides a 2D interaction map and a spectrum-annotation tool that are unmatched by similar software. Comparative analysis using a dataset from the human HSP90 protein demonstrates that SIM-XL outperforms a competing tool in terms of sensitivity and speed. The software is freely available for academic use, and a video explaining its functionality is provided. SIM-XL is the first tool to support XL data in the mzIdentML format, and all data are accessible through the ProteomeXchange consortium.

Topic

Proteomics;Proteomics experiment;Protein interactions;Protein structure analysis

Detail

  • Operation: Protein interaction analysis;Mass spectrum visualisation;Protein structure analysis;Sequence database search;Protein feature detection;Pathway or network visualisation;Heat map generation;Plotting

  • Software interface: Graphical user interface

  • Language: C#

  • License: -

  • Cost: Free

  • Version name: 1.5.7.1

  • Credit: -

  • Input: mzML 1.1.0, MS2, Mascot Generic Format (MGF), ABSciex®, Agilent® and Waters®RAW files, and Thermo® RAW files wiht MSFileReader installed.

  • Output: .simxlr, mzIdentlML 1.2

  • Contact: PAULO C CARVALHO paulo@pcarvalho.com, FABIO C GOZZO fabio@iqm.unicamp.br, DIOGO B LIMA diogobor@gmail.com

  • Collection: -

  • Maturity: Stable

Publications

  • SIM-XL: A powerful and user-friendly tool for peptide cross-linking analysis.
  • Lima DB, et al. SIM-XL: A powerful and user-friendly tool for peptide cross-linking analysis. SIM-XL: A powerful and user-friendly tool for peptide cross-linking analysis. 2015; 129:51-55. doi: 10.1016/j.jprot.2015.01.013
  • https://doi.org/10.1016/j.jprot.2015.01.013
  • PMID: 25638023
  • PMC: -

Download and documentation


< Back to DB search