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Table 3 AUC and elapsed time in the Fischer data set.

From: Fast and accurate protein substructure searching with simulated annealing and GPUs

       95% confidence interval
Method Platform Restarts Elapsed time AUC standard error lower upper
SHEBA CPU - 03 m 47 s 0.877 0.016 0.845 0.909
DaliLite CPU - 113 m 34 s 0.876 0.016 0.845 0.908
LOCK2 CPU - 32 m 12 s 0.874 0.016 0.842 0.907
IR Tableau CPU - < 1 s 0.859 0.015 0.830 0.888
QP Tableau Search CPU - 52 m 10 s 0.848 0.018 0.813 0.882
SA Tableau Search CPU 4096 12 m 07 s 0.837 0.018 0.801 0.872
SA Tableau Search Tesla C1060 4096 00 m 55 s 0.836 0.018 0.800 0.871
SA Tableau Search GTX 285 4096 00 m 40 s 0.829 0.018 0.792 0.865
SA Tableau Search CPU 128 00 m 25 s 0.822 0.019 0.786 0.859
SA Tableau Search GTX 285 128 00 m 02 s 0.809 0.019 0.771 0.846
SA Tableau Search Tesla C1060 128 00 m 02 s 0.804 0.019 0.767 0.842
SARF2 CPU - 19 m 34 s 0.797 0.020 0.759 0.835
YAKUSA CPU - 00 m 02 s 0.741 0.021 0.700 0.782
TOPS CPU - 01 m 05 s 0.692 0.022 0.649 0.734
TableauSearch CPU - < 1 s 0.662 0.022 0.619 0.705
VAST CPU - 02 m 33 s 0.600 0.022 0.557 0.643
  1. Area under the ROC curve (AUC) and elapsed time for different methods for all-against-all comparisons in the Fischer data set. The table is sorted by AUC descending. In the Platform column, either a GPU card is described, or CPU, which is a single core of an AMD Quad Core Opteron (2.3 GHz, 32 GB RAM) running Linux.