Fig. 3.
Correlation of measured vs. model-predicted residence times and training set analysis. (A) Correlation of mean measured residence times with the values predicted by the model, utilizing the characteristic module times (τi) calculated using the 10-component training set, for the proteins in the Signaling and Transport modules (black dots) and 2 proteins in the Mitotic Exit module (blue dots). The three outliers (Pea2, Rho1, and Lrg1) are represented by brown dots. (Inset) Correlation for the training set components (green dots). (B) Performance of qualified training sets randomly drawn (black dots) from the measured t1/2 values of 29 proteins in Signaling and Transport modules in predicting the residence times for the 19 remaining proteins in these modules. The y axis represents the errors (as square root of error mean square) obtained by the least-squares multivariate regression method using each training set (Materials and Methods). The x axis indicates the correlation coefficient between the measured t1/2 values and predicted residence values. The red point indicates the performance of our chosen training set. (C) Same analysis and representation as in B, except for predicting residence times for 21 proteins (19 as in B plus the 2 proteins in the Mitotic Exit module).