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. 2011 Mar 31;4:94. doi: 10.1186/1756-0500-4-94

Table 2.

Prediction results

Drug linear max most splines max most fmm max most periodic max most natural max most
APV 0.934 ± 0.001 0.929 ± 0.002 0.928 ± 0.001 0.927 ± 0.001 0.928 ± 0.001
0.932 ± 0.001 0.934 ± 0.001 0.932 ± 0.002 0.933 ± 0.001 0.933 ± 0.001
ATV 0.936 ± 0.002 0.917 ± 0.003 0.920 ± 0.002 0.919 ± 0.002 0.920 ± 0.002
0.928 ± 0.002 0.915 ± 0.003 0.919 ± 0.003 0.918 ± 0.003 0.920 ± 0.003
IDV 0.972 ± 0.001 0.968 ± 0.001 0.968 ± 0.001 0.968 ± 0.001 0.968 ± 0.001
0.970 ± 0.001 0.970 ± 0.001 0.971 ± 0.001 0.971 ± 0.001 0.972 ± 0.001
LPV 0.964 ± 0.001 0.963 ± 0.001 0.963 ± 0.001 0.962 ± 0.001 0.963 ± 0.001
0.963 ± 0.001 0.964 ± 0.001 0.963 ± 0.001 0.963 ± 0.001 0.964 ± 0.001
NFV 0.941 ± 0.001 0.938 ± 0.001 0.940 ± 0.001 0.940 ± 0.001 0.940 ± 0.001
0.939 ± 0.001 0.943 ± 0.001 0.947 ± 0.001 0.946 ± 0.001 0.945 ± 0.001
RTV 0.984 ± 0.001 0.980 ± 0.001 0.981 ± 0.001 0.981 ± 0.001 0.981 ± 0.001
0.983 ± 0.001 0.986 ± 0.001 0.986 ± 0.001 0.986 ± 0.001 0.986 ± 0.001
SQV 0.955 ± 0.001 0.950 ± 0.001 0.951 ± 0.001 0.951 ± 0.001 0.951 ± 0.001
0.952 ± 0.001 0.953 ± 0.001 0.957 ± 0.001 0.955 ± 0.001 0.956 ± 0.001

3TC 0.933 ± 0.002 0.936 ± 0.002 0.939 ± 0.002 0.938 ± 0.002 0.939 ± 0.002
0.927 ± 0.003 0.934 ± 0.002 0.937 ± 0.002 0.937 ± 0.002 0.937 ± 0.003
ABC 0.916 ± 0.002 0.906 ± 0.002 0.909 ± 0.003 0.909 ± 0.002 0.909 ± 0.002
0.914 ± 0.003 0.910 ± 0.003 0.918 ± 0.003 0.919 ± 0.002 0.918 ± 0.003
AZT 0.908 ± 0.002 0.890 ± 0.002 0.894 ± 0.002 0.893 ± 0.002 0.894 ± 0.002
0.908 ± 0.002 0.898 ± 0.002 0.905 ± 0.002 0.903 ± 0.002 0.904 ± 0.002
d4T 0.903 ± 0.002 0.886 ± 0.002 0.889 ± 0.002 0.889 ± 0.002 0.889 ± 0.002
0.900 ± 0.002 0.892 ± 0.002 0.901 ± 0.002 0.899 ± 0.002 0.901 ± 0.002
ddI 0.853 ± 0.003 0.829 ± 0.003 0.837 ± 0.003 0.836 ± 0.003 0.836 ± 0.002
0.852 ± 0.003 0.841 ± 0.003 0.846 ± 0.003 0.839 ± 0.003 0.844 ± 0.003
TDF 0.832 ± 0.004 0.808 ± 0.005 0.817 ± 0.004 0.818 ± 0.005 0.816 ± 0.005
0.825 ± 0.005 0.812 ± 0.005 0.813 ± 0.005 0.814 ± 0.005 0.813 ± 0.005

DLV 0.901 ± 0.002 0.888 ± 0.002 0.891 ± 0.002 0.891 ± 0.002 0.891 ± 0.002
0.898 ± 0.002 0.881 ± 0.002 0.882 ± 0.002 0.883 ± 0.002 0.883 ± 0.002
EFV 0.932 ± 0.002 0.921 ± 0.002 0.928 ± 0.002 0.929 ± 0.002 0.928 ± 0.002
0.925 ± 0.002 0.911 ± 0.002 0.915 ± 0.002 0.919 ± 0.002 0.915 ± 0.002
NVP 0.917 ± 0.002 0.910 ± 0.002 0.916 ± 0.002 0.917 ± 0.002 0.916 ± 0.002
0.908 ± 0.003 0.902 ± 0.003 0.906 ± 0.003 0.909 ± 0.003 0.906 ± 0.003

BVM 0.918 ± 0.002 0.932 ± 0.002 0.932 ± 0.002 0.923 ± 0.003 0.933 ± 0.002

GTP 0.981 ± 0.001 0.979 ± 0.001 0.978 ± 0.001 0.977 ± 0.001 0.979 ± 0.001
0.980 ± 0.001 0.979 ± 0.001 0.979 ± 0.001 0.976 ± 0.001 0.979 ± 0.001

MIP 0.815 ± 0.010 0.789 ± 0.013 0.789 ± 0.011 0.787 ± 0.016 0.788 ± 0.017
0.827 ± 0.012 0.815 ± 0.014 0.813 ± 0.014 0.816 ± 0.013 0.812 ± 0.013

AUC ± standard deviations with max representing the maximal occuring sequence length within a dataset, most the most frequent sequence length in a dataset. For BVM most and max are the same.