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. Author manuscript; available in PMC: 2018 Mar 28.
Published in final edited form as: J Chem Inf Model. 2017 Jul 12;57(7):1579–1590. doi: 10.1021/acs.jcim.7b00153

Table 3.

ROCAUC for Individual Methods and Best Individual Performancea

Target Class Target Individual Programs
Best
AD4 DOCK6 FRED HYBRID PLANTS rDock Smina Surflex


GPCR ADRB1 0.68 0.78 0.77 0.65 0.86 0.81 0.79 0.80 0.86
GPCR DRD3 0.69 0.59 0.79 0.81 0.69 0.66 0.68 0.71 0.81
ion channel GRIA2 0.73 0.60 0.79 0.77 0.73 0.77 0.75 0.77 0.79
kinase BRAF 0.73 0.60 0.75 0.69 0.54 0.79 0.86 0.71 0.86
kinase CDK2 0.76 0.61 0.81 0.85 0.68 0.74 0.71 0.69 0.85
kinase PLK1 0.60 0.48 0.80 0.75 0.65 0.68 0.57 0.60 0.80
kinase SRC 0.65 0.64 0.65 0.66 0.52 0.68 0.67 0.66 0.68
miscellaneous FABP4 0.67 0.54 0.84 0.82 0.74 0.60 0.77 0.79 0.84
receptor ESR1 0.82 0.54 0.88 0.81 0.77 0.87 0.86 0.74 0.88
receptor ESR2 0.77 0.48 0.89 0.89 0.69 0.80 0.79 0.68 0.89
other enzymes ACE 0.78 0.72 0.80 0.84 0.84 0.62 0.61 0.76 0.84
other enzymes GLCM 0.55 0.60 0.70 0.81 0.64 0.77 0.51 0.79 0.81
other enzymes HDAC8 0.70 0.90 0.87 0.76 0.82 0.71 0.86 0.83 0.90
other enzymes HIVINT 0.54 0.65 0.74 0.60 0.76 0.67 0.81 0.66 0.81
other enzymes PDE5A 0.68 0.65 0.84 0.82 0.79 0.78 0.74 0.66 0.84
other enzymes PTN1 0.66 0.76 0.76 0.78 0.72 0.76 0.66 0.88 0.88
protease ADA17 0.51 0.40 0.59 0.69 0.58 0.58 0.54 0.70 0.70
protease FA10 0.86 0.81 0.79 0.82 0.80 0.90 0.84 0.76 0.90
protease HIVPR 0.63 0.66 0.74 0.78 0.79 0.64 0.74 0.81 0.81
protease MMP13 0.67 0.60 0.77 0.87 0.71 0.67 0.67 0.76 0.87
protease TRY1 0.79 0.82 0.80 0.83 0.81 0.74 0.75 0.93 0.93
mean 0.69 0.64 0.78 0.78 0.72 0.73 0.72 0.75 0.84
std. dev. 0.09 0.12 0.07 0.08 0.10 0.09 0.10 0.08 0.06
a

Colors represent a 3-point gradient from worst (red) to best (green). “Best” indicates the best performance across docking programs.