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Updated: Jun 2, 2026

Identification of Kinase-substrate Pairs Using High Throughput Screening
Published on: August 29, 2015
A quantitative literature-curated gold standard for kinase-substrate pairs
Sara Sharifpoor1, Alex N Nguyen Ba, Ji-Young Youn
1Department of Molecular Genetics, The Donnelly Centre for Cellular and Biomolecular Research, University of Toronto,160 College Street, Toronto, M3S 3E1, Canada.
Abstract:
We describe the Yeast Kinase Interaction Database (KID, http://www.moseslab.csb.utoronto.ca/KID/), which contains high- and low-throughput data relevant to phosphorylation events. KID includes 6,225 low-throughput and 21,990 high-throughput interactions, from greater than 35,000 experiments. By quantitatively integrating these data, we identified 517 high-confidence kinase-substrate pairs that we consider a gold standard. We show that this gold standard can be used to assess published high-throughput datasets, suggesting that it will enable similar rigorous assessments in the future.
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