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- Title
SAINT: probabilistic scoring of affinity purification-mass spectrometry data.
- Authors
Hyungwon Choi; Larsen, Brett; Zhen-Yuan Lin; Breitkreutz, Ashton; Mellacheruvu, Dattatreya; Fermin, Damian; Qin, Zhaohui S.; Tyers, Mike; Gingras, Anne-Claude; Nesvizhskii, Alexey I.
- 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.
- Subjects
PROTEIN research; PROTEIN-protein interactions; PROTEIN spectra; SPECTROMETRY; PROBABILITY theory; RECOMBINANT proteins
- Publication
Nature Methods, 2011, Vol 8, Issue 1, p70
- ISSN
1548-7091
- Publication type
Article
- DOI
10.1038/nmeth.1541