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Table 1 The cross-validation performance of various algorithms using the SP175 reference dataset [9] with the standard [1] secondary structure assignment scheme.

From: Novel methods for secondary structure determination using low wavelength (VUV) circular dichroism spectroscopic data

Dataset Structure SELMAT3 SELMAT1_norm PLS PLS-opt
   δ r δ r δ r δ r
SP175 α R 0.048 0.956 0.046 0.960 0.040 0.971 0.041 0.970
  α D 0.035 0.809 0.035 0.811 0.036 0.791 0.037 0.779
  β R 0.073 0.792 0.064 0.849 0.063 0.853 0.059 0.870
  β D 0.020 0.913 0.019 0.921 0.023 0.889 0.025 0.867
  turn 0.052 0.325 0.053 0.297 0.052 0.332 0.051 0.319
  other 0.050 0.717 0.046 0.770 0.050 0.720 0.045 0.771
SP175 (nr) α R 0.049 0.954 0.048 0.956 0.041 0.970 0.042 0.969
  α D 0.037 0.776 0.036 0.790 0.037 0.778 0.038 0.764
  β R 0.083 0.725 0.067 0.832 0.065 0.841 0.061 0.862
  β D 0.023 0.891 0.021 0.902 0.024 0.880 0.026 0.857
  turn 0.055 0.261 0.054 0.277 0.053 0.302 0.052 0.295
  other 0.055 0.671 0.047 0.754 0.054 0.683 0.046 0.764
  1. The (nr) tag indicates that the cross-validation was carried out under more stringent (non-redundant) conditions such that no proteins in the training set with the same CATH homologous superfamily as that of the test protein were included. The best results (lowest δ or highest r) for each secondary structure type with the SP175 and SP175(nr) datasets are shown in bold.
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