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. 2018 Oct 4;9(11):1134–1139. doi: 10.1021/acsmedchemlett.8b00397

Table 1. Statistical Measures of Correlation for the COMBINE Analysis Models Derived for log(koff) of HSP90 and HIV-1 Protease Inhibitorsa.

  HSP90
HIV-1 protease
validation Q2 AAEV RMEV Q2 AAEV RMEV
leave-one-out (LOO) 0.69 0.45 0.57 0.70 0.58 0.75
leave-two-out (L2O) 0.69 0.45 0.58 0.51 0.68 0.96
leave-three-out (L3O) 0.68 0.46 0.59 0.52 0.68 0.95
random groups of 7 (10 iterations) 0.68 0.46 0.59 0.60 0.63 0.86
a

Cross-validated correlation coefficient (Q2), average absolute errors (AAEV), and root mean squared errors (RMEV) for different validation methods are given for the PLS models derived with three latent variables for HSP90 inhibitors and six latent variables for HIV-1 protease inhibitors.