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. Author manuscript; available in PMC: 2013 Jun 25.
Published in final edited form as: J Chem Inf Model. 2012 May 29;52(6):1637–1659. doi: 10.1021/ci300009z

Table 1.

The percentage of each substrate set with an experimentally observed SOM predicted in the top two rank-positions by the given methoda

Isozyme 1A2 2A6 2B6 2C19 2C8 2C9 2D6 2E1 3A4 merged
Number of Substrates 271 105 151 218 142 226 270 145 475 680
RS-Predictor (TOP SCR)b 82.3 85.7 76.8 86.2 83.8 84.1 83.7 80.7 82.1 86.0
RS-Predictor (TOP QC SCR)b 83.0 81.0 82.1 86.2 83.8 84.5 85.9 82.8 82.3 84.1
RS-Predictor (TOP QC)b 79.7 79.0 80.1 82.6 77.5 80.5 83.3 80.7 77.7 81.6
SMARTCyp 78.9 83.3 73.6 73.7 73.2 67.3 58.4 81.0 74.4 74.8
StarDrop 78.0 75.3 74.1
Schrödinger 72.1 68.1 76.4

Random Model 26.0 31.9 24.8 20.2 22.6 22.2 21.1 36.5 21.0 26.3
a

For each CYP, the optimal model is shown in bold, as are all other models found not to be statistically different using Fisher’s exact test of independence.

b

Independent RS-Predictor models encode putative SOMs with different combinations of 148 topological descriptors (TOP), 392 quantum chemical descriptors (QC), and the SMARTCyp reactivity descriptor (SCR).

Cross-validated RS-Predictor results were obtained from predictions made using the Training schema described in Figure 1.