Figure 13.

Difference in accuracy of models predicted to be the best and the actual best according to the GDT_TS score as a function of the separation between the best model and the distribution mean (GDT_TS-based z-score). Each point corresponds to one target. The data are shown for targets with at least one structural model scoring GDT_TS>40. For each target, the minimum deviation among all EMA groups is plotted, with the color corresponding to the type of the best performing method (blue for single, green for quasi-single and black for clustering). Ties are resolved in the order: single, quasi-single, clustering. Lower scores indicate better predicted targets. Larger slope of the line indicates larger dependency of the methods on the separation between the best model and the mean model in terms of the GDT_TS score. Targets T0890, T0900 and T0942 are examples of the largest failures. Targets T0868, T0884, T0866 and T0885 are all examples of the successful identification of best models on the targets where only few models were much better than the others.