SAINTq: Scoring protein-protein interactions in affinity purification - mass spectrometry experiments with fragment or peptide intensity data.

@article{Teo2016SAINTqSP,
  title={SAINTq: Scoring protein-protein interactions in affinity purification - mass spectrometry experiments with fragment or peptide intensity data.},
  author={Guoci Teo and Hiromi Wai Ling Koh and Damian Fermin and Jean-Philippe Lambert and James D. R. Knight and Anne-Claude Gingras and Hyungwon Choi},
  journal={Proteomics},
  year={2016},
  volume={16 15-16},
  pages={
          2238-45
        }
}
SAINT (Significance Analysis of INTeractome) is a probabilistic method for scoring bait-prey interactions against negative controls in affinity purification - mass spectrometry (AP-MS) experiments. Our published SAINT algorithms use spectral counts or protein intensities as the input for calculating the probability of true interaction, which enables objective selection of high-confidence interactions with false discovery control. With the advent of new protein quantification methods such as… CONTINUE READING
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