Predicting Bevirimat resistance of HIV-1 from genotype

BMC Bioinformatics

Table 1 Area under the curve.

method	descriptor	mean AUC	sd	cv
RF	hydrophobicity	0.927	0.001	0.001
	molecular weight	0.923	0.001	0.001
	IEP	0.909	0.001	0.001
	pKa	0.914	0.001	0.001
	cleavage site prediction	0.851	0.003	0.003
ANN	hydrophobicity	0.841	0.028	0.034
	molecular weight	0.839	0.022	0.026
	IEP	0.721	0.036	0.050
	pKa	0.733	0.028	0.038
	cleavage site prediction	0.762	0.036	0.047
linear model	hydrophobicity	0.826	0.008	0.009
	molecular weight	0.811	0.000	0.000
	IEP	0.784	0.000	0.000
	pKa	0.777	0.000	0.000
	cleavage site prediction	0.803	0.000	0.000
decision tree	hydrophobicity	0.815	0.000	0.000
	molecular weight	0.841	0.000	0.000
	IEP	0.771	0.000	0.000
	pKa	0.764	0.000	0.000
	cleavage site prediction	0.803	0.000	0.000
JRip	hydrophobicity	0.825	0.000	0.000
PART	hydrophobicity	0.890	0.000	0.000
Rule372	hydrophobicity	0.710	0.000	0.000

Results of the 100-fold leave-one-out validation. The pro forma AUC values for the discrete methods (decision trees and rule based models) are just for comparison purposes. sd: standard deviation; cv: coefficient of variation.

ISSN: 1471-2105