PRince

PrInCE is an R package designed for inferring protein-protein interaction networks from co-fractionation mass spectrometry (CF-MS) data using a machine-learning approach. Initially implemented in Matlab, this package has been rewritten in an open-source language for improved runtime and memory efficiency. PrInCE offers new features in its R implementation, including a test for detecting co-eluting protein complexes and a method for conducting differential network analysis. The software is well-documented, fully compatible with Bioconductor classes, and seamlessly integrates into existing proteomics workflows.

Topic

Protein interactions;Proteomics;Proteomics experiment;Sequence analysis;Protein interaction experiment

Detail

  • Operation: Protein interaction prediction;Protein identification;Protein interaction network prediction

  • Software interface: Library

  • Language: R, MATLAB

  • License: The MIT License

  • Cost: Free

  • Version name: 1.19.0

  • Credit: Genome Canada/Genome BC, WestGrid and Compute Canada.

  • Input: -

  • Output: -

  • Contact: Michael Skinnider michael.skinnider@msl.ubc.ca

  • Collection: -

  • Maturity: Stable

Publications

  • PrInCE: an R/Bioconductor package for protein-protein interaction network inference from co-fractionation mass spectrometry data.
  • Skinnider MA, et al. PrInCE: an R/Bioconductor package for protein-protein interaction network inference from co-fractionation mass spectrometry data. PrInCE: an R/Bioconductor package for protein-protein interaction network inference from co-fractionation mass spectrometry data. 2021; 37:2775-2777. doi: 10.1093/bioinformatics/btab022
  • https://doi.org/10.1093/BIOINFORMATICS/BTAB022
  • PMID: 33471077
  • PMC: -
  • PRince: a web server for structural and physicochemical analysis of protein-RNA interface.
  • Barik A, et al. PRince: a web server for structural and physicochemical analysis of protein-RNA interface. PRince: a web server for structural and physicochemical analysis of protein-RNA interface. 2012; 40:W440-4. doi: 10.1093/nar/gks535
  • https://doi.org/10.1093/nar/gks535
  • PMID: 22689640
  • PMC: PMC3394290

Download and documentation

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