Information on protein-protein interactions is of central importance for many areas of biomedical research. At present no method exists to systematically and experimentally assess the quality of individual interactions reported in interaction mapping experiments. To provide a standardized confidence-scoring method that can be applied to tens of thousands of protein interactions, we have developed an interaction tool kit consisting of four complementary, high-throughput protein interaction assays. We benchmarked these assays against positive and random reference sets consisting of well documented pairs of interacting human proteins and randomly chosen protein pairs, respectively. A logistic regression model was trained using the data from these reference sets to combine the assay outputs and calculate the probability that any newly identified interaction pair is a true biophysical interaction once it has been tested in the tool kit. This general approach will allow a systematic and empirical assignment of confidence scores to all individual protein-protein interactions in interactome networks.
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We thank S. Michnick and N. Ramachandran for reagents and technical help for the PCA and wNAPPA assays, respectively. We thank A. Datti, T. Sun and F. Vizeacoumar from the SMART Robotics Facility at the Samuel Lunenfeld Research Institute for help with the automated version of LUMIER assay. We thank all members of the Vidal, Tavernier, Roth, and Wrana laboratories for helpful discussions, Agencourt Biosciences for sequencing assistance, and A. Bird and D. Maher for administrative assistance. This work was supported by contributions from the W.M. Keck Foundation awarded to M.V., F.P.R. and D.E.H.; by the Ellison Foundation awarded to M.V.; by Institute Sponsored Research funds from the Dana-Farber Cancer Institute Strategic Initiative awarded to M.V. and CCSB; by US National Institutes of Health grants 5P50HG004233 and 2R01HG001715 awarded to M.V., F.P.R. and D.E.H., R01 ES015728 awarded to M.V., 5U54CA112952 awarded to J. Nevins (M.V. subcontract), 5U01CA105423 awarded to S.H. Orkin (M.V. project), R01 HG003224 awarded to F.P.R. and F32 HG004098 awarded to M.T.; by a University of Ghent grant GOA12051401 and the Fonds Wetenschappelijk Onderzoek– Vlanderen (FWO-V) G.0031.06 awarded to J.T., by a postdoctoral fellowship from the FWO-V awarded to I.L.; and by a grant from Genome Canada and funds from the Ontario Genomics Institute awarded to J.L.W. M.V. is a Chercheur Qualifié Honoraire from the Fonds de la Recherche Scientifique (FRS-FNRS, French Community of Belgium).
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Braun, P., Tasan, M., Dreze, M. et al. An experimentally derived confidence score for binary protein-protein interactions. Nat Methods 6, 91–97 (2009). https://doi.org/10.1038/nmeth.1281
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