Figure 2

Comparison of function classification performance by FSSA and MAMMOTH on experimental and predicted structures. These structures correspond to selected prediction targets from the LiveBench 7 (LB7), LiveBench 8 (LB8), LiveBench 9 (LB9) and PDB-CAFASP 1 (PC1) experiments. (a) represents those prediction targets that are assigned to the correct SCOP fold (regardless of superfamily) by 3D-Jury; (b) represents those prediction targets that are assigned to the correct SCOP fold but incorrect SCOP superfamily by 3D-Jury. The heights of the first bars ("SCOP classification") in panel (a) and (b) correspond to the total number of targets to be classified for each panel, while the following bars represent the number of targets assigned to correct superfamily by the corresponding prediction methods. The FSSA algorithm has better performance than the structure comparison method for both experimental and predicted structures, and especially for predicted structures that were generated with biases towards the incorrect functional categories.