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Table 5 Comparison of PC2CA and DFMAC functions on the test set.

From: A knowledge-based structure-discriminating function that requires only main-chain atom coordinates

   PC2CA DFMAC
decoy set total correct C α RMSD Z-score C.C. F.E.(%) correct C α RMSD Z-score C.C. F.E.(%)
4state_reduced 3 2 0.7 1.4 0.59 53.4 3 0.0 3.5 0.77 62.6
fisa 1 1 0.0 7.3 0.17 22.0 1 0.0 4.2 0.28 24.0
fisa_casp3 2 2 0.0 4.4 -0.02 10.4 1 3.7 3.0 0.22 19.6
hg_structal 10 5 0.8 1.3 0.70 53.3 9 0.2 1.8 0.82 50.0
ig_structal 20 0 2.2 -0.8 0.31 18.3 15 0.4 1.9 0.51 25.8
ig_structual_hires 7 0 2.6 -0.2 0.32 0.0 6 0.2 2.0 0.54 42.9
lattice_ssfit 2 2 0.0 3.9 0.02 11.1 2 0.0 10.5 0.04 12.8
lmds 4 3 1.6 3.7 0.10 19.5 2 4.2 2.5 0.07 15.1
semfold 2 1 0.2 2.7 0.05 13.0 1 6.1 5.1 0.08 16.4
Summary 51 16 1.5 0.9 0.35 24.1 40 0.9 2.6 0.50 33.1
  1. Only the results for targets listed in our test set are compiled and shown. The number of correctly identified native structures (correct) out of the total targets (total) is shown by individual generation methods. The averages of C α RMSD, Z-score, C.C., and F.E. for the respective decoy sets are also shown. In the "Summary" column, the sum of total and correct counts, and the averages of C α RMSD, Z-score, C.C., and F.E. over the respective protein targets, are shown. The results of PC2CA [16] were used and the respective score averages were calculated.