SAINT: probabilistic scoring of affinity purification-mass spectrometry data.
basic_science · Level V
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- Record sourced from PubMed, PMID 21131968.
- Also identified by DOI 10.1038/nmeth.1541 and PMC identifier 3064265.
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Abstract
We present 'significance analysis of interactome' (SAINT), a computational tool that assigns confidence scores to protein-protein interaction data generated using affinity purification-mass spectrometry (AP-MS). The method uses label-free quantitative data and constructs separate distributions for true and false interactions to derive the probability of a bona fide protein-protein interaction. We show that SAINT is applicable to data of different scales and protein connectivity and allows transparent analysis of AP-MS data.
Medical subject headings
- Chromatography, Affinity
- Computational Biology
- Protein Interaction Mapping
- Proteins