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. Author manuscript; available in PMC: 2009 Oct 21.
Published in final edited form as: J Med Chem. 2008 Dec 25;51(24):7827–7833. doi: 10.1021/jm8009074

Table 3.

Results for 10 Different Systems Showing the Correlations between Enzyme and Cell Activities and the Correlations between Experimental and Predicted Cell Activities

target cell R2, enzyme
vs cell
R2, enzyme
test seta
R2, training
setb
R2, test
seta
R2,
scrambledc
descriptors
tested
number of
compounds
FPPS Plasmodium falciparum 0.06 0.01 0.77 0.74 0.16 150 26
FPPS Dictyostelium discoideum 0.49 0.46 0.70 0.70 0.07 123 102
FPPS Leishmania donovani 0.55 0.47 0.87 0.80 0.11 138 21
UPPS Streptococcus pneumoniae 0.03 0.10 0.71 0.69 0.14 109 27
MurI Streptococcus pneumoniae 0.61 0.57 0.72 0.68 0.13 123 42
HCV NS3 Protease Hu-7 0.03 0.02 0.78 0.77 0.12 142 34
HIV-1 integrase MT4 0.12 0.04 0.69 0.64 0.13 126 30
HLG Phosphorylase rat hepatocytes 0.55 0.48 0.71 0.74 0.19 132 35
KDR kinase NIH 3T3 0.36 0.30 0.60 0.58 0.09 117 42
Akt Kinase MiaPaCa-2 (pancreatic cancer) 0.41 0.35 0.68 0.68 0.12 80 48
average 0.32 0.28 0.72 0.70 0.13 124 42
a

Correlation obtained from a leave-two-out analysis.

b

Correlations based on cell activity predictions using a combinatorial descriptor search.

c

Average correlation obtained from a leave-two-out analysis of 10 sets of scrambled data.