Portal de Periódicos da CAPES

SAINT: probabilistic scoring of affinity purification–mass spectrometry data

2010; Nature Portfolio; Volume: 8; Issue: 1 Linguagem: Inglês

10.1038/nmeth.1541

1548-7105

Hyungwon Choi, Brett Larsen, Zhen-Yuan Lin, Ashton Breitkreutz, Dattatreya Mellacheruvu, Damian Fermin, Zhaohui Qin, Mike Tyers, Anne‐Claude Gingras, Alexey I. Nesvizhskii,

Protein Structure and Dynamics

A statistical framework for assigning confidence scores for protein-protein interaction data generated via affinity purification–mass spectrometry, called significance analysis of interactome (SAINT) is described. 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.