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
General
http://sfinx.ugent.be/