SFINX

SFINX filters affinity purification–mass spectrometry (AP-MS) datasets to identify high-confidence protein–protein interactions by distinguishing true-positive interactions from background noise.


Key Features:

  • Straightforward Filtering Index: Applies a quantitative filtering algorithm to AP-MS data to separate bona fide protein–protein interactions from contaminants and false positives.
  • Benchmark-Validated Performance: Demonstrates improved identification of true-positive interactions compared to alternative methods on benchmark AP-MS datasets.

Scientific Applications:

  • Protein Interaction Network Analysis: Supports proteomics studies by refining AP-MS–derived interaction datasets for mapping protein networks and validating interaction partners.

Methodology:

SFINX computes a filtering index on AP-MS interaction data to evaluate interaction reliability, enabling systematic discrimination of true-positive protein–protein interactions from experimental artifacts and background signals.

Topics

Collections

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
5/17/2016
Last Updated:
11/24/2024

Operations

Data Inputs & Outputs

Protein interaction analysis

Publications

Titeca K, Meysman P, Gevaert K, Tavernier J, Laukens K, Martens L, Eyckerman S. SFINX: Straightforward Filtering Index for Affinity Purification–Mass Spectrometry Data Analysis. Journal of Proteome Research. 2015;15(1):332-338. doi:10.1021/acs.jproteome.5b00666. PMID:26616242.

PMID: 26616242
Funding: - European Research Council: 340941 - Federaal Wetenschapsbeleid: P6/36 - Fonds Wetenschappelijk Onderzoek: G.0113.12, G.0747.10N, G.0864.10, G.0903.13N - Seventh Framework Programme: 262067

Documentation