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Updated: Aug 7, 2026

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
Published on: January 30, 2018
Estimating the parameters of a model for protein-protein interaction graphs
Vikrant Deshmukh1, Chris Cannings, Alun Thomas
1Department of Biomedical Informatics, University of Utah, 26 South 2000 East, Room 5775, Salt Lake City, UT 84112-5750, USA. vgdl@utah.edu
Abstract:
We find accurate approximations for the expected number of three-cycles and unchorded four-cycles under a stochastic distribution for graphs that has been proposed for modelling yeast two-hybrid protein-protein interaction networks. We show that unchorded four-cycles are characteristic motifs under this model and that the count of unchorded four-cycles in the graph is a reliable statistic on which to base parameter estimation. Finally, we test our model against a range of experimental data, obtain parameter estimates from these data and investigate possible improvements in the model. Characterization of this model lays the foundation for its use as a prior distribution in a Bayesian analysis of yeast two-hybrid networks that can potentially aid in identifying false-positive and false-negative results.
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