Figure 3.

Fitting of the kinetic model to the experimental data. a. The result of fitting the model of the node degree distribution to the log of the experimental node degree histogram for the S. cerevisiae protein interaction network. Axis ξ - the node degree; axis dn/dξ - the number of proteins of a given node degree. The dots represent the database data. The last four points indicate the average value of the node degree and the centers of an arbitrarily defined range. The continuous line connects the theoretical predictions of the model. b. Comparison of the fit using the proposed model (eq. 5) and the fits using other models: PL - power-law model and PL-EC – generalized power-law with exponential cut-off model. The continuous line indicates a linear trend for the factual values and the values predicted by our model. The parameters of the trend line are shown in the inset. c. Comparison of the fit using the current model (eq. 5) and the fits using our previous double exponential model, 2E [20]. The continuous line indicates the ideal fit (y = x). d. The result of fitting the model of the dependence of N and L to the points representing values for 10 different interactomes. The dots represent the database data. The continuous line connects theoretical predictions of the model.

Pawlowski et al. BMC Genomics 2013 14:172   doi:10.1186/1471-2164-14-172
Download authors' original image