SAINT: Probabilistic Scoring of Affinity Purification - Mass Spectrometry Data

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.

• Publication year

  2010

• Venue

  Nature Methods

• Publication date

  2010-11-15

• Fields of study

  Biology, Medicine, Chemistry, Computer Science

• Identifiers
  DOI 10.1038/nmeth.1541PMID 21131968PMCID 3064265
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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