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. Author manuscript; available in PMC: 2021 Dec 21.
Published in final edited form as: J Comput Aided Mol Des. 2020 Jan 30;34(5):485–493. doi: 10.1007/s10822-020-00286-1

Table 3.

Comparison of the predicted partition coefficients using tautomers

ID logP B3LYP
B3PW91
B97D
M11
O3LYP
PBE0
ωB97
ωB97X-D
MP2
Expt. DZa TZ DZ TZc DZ TZ DZ TZ DZ TZ DZ TZ DZ TZ DZ TZ DZ TZ

SM02 4.09 3.24 3.11 3.18 3.09 3.11 2.78 3.00 2.91 3.26 3.16 3.15 3.06 3.12 3.01 2.92 2.77 2.81 2.68
SM04 3.98 2.18 2.06 2.06 1.99 2.22 2.11 1.90 1.81 2.76 2.53 2.03 1.96 2.05 1.95 2.04 1.96 2.24 2.08
SM07 3.21 2.84 2.73 2.74 2.66 2.88 2.78 2.59 2.51 2.82 2.73 2.70 2.63 2.73 2.63 2.72 2.63 2.87 2.74
SM08 3.10 2.13 2.03 2.04 1.98 2.29 2.18 1.79 1.73 2.20 2.12 2.01 1.96 2.05 1.97 1.96 1.90 2.39 2.29
SM09 3.03 2.35 2.23 2.26 2.20 2.04 1.82 2.06 1.90 2.36 2.30 2.23 2.17 2.20 2.02 1.74 1.66 1.88 1.75
SM11 2.10 1.05 0.92 0.98 0.88 1.10 0.98 0.85 0.75 1.05 0.96 0.95 0.86 0.95 0.82 0.94 0.84 1.13 1.00
SM12 3.83 3.08 2.96 3.01 2.93 2.84 2.52 2.85 2.77 3.08 3.01 2.98 2.91 2.95 2.85 2.66 2.51 2.63 2.50
SM13 2.92 2.67 2.56 2.58 2.52 2.22 2.11 1.90 1.79 2.70 2.65 2.31 2.18 2.03 1.93 2.01 1.94 2.17 2.06
SM14 1.95 1.95 1.81 1.85 1.75 2.00 1.88 1.68 1.59 1.93 1.82 1.81 1.72 1.82 1.70 1.81 1.71 1.94 1.79
SM15 3.07 1.88 1.77 1.79 1.73 1.96 1.86 1.60 1.54 1.88 1.81 1.75 1.70 1.75 1.67 1.74 1.68 1.87 1.77
SM16 2.62 1.80 1.63 1.75 1.63 1.89 1.74 1.61 1.47 1.84 1.71 1.73 1.61 1.74 1.59 1.70 1.57 1.59 1.68
MSDb −0.79 −0.92 −0.88 −0.96 −0.85 −1.01 −1.10 −1.19 −0.73 −0.83 −0.93 −1.01 −0.96 −1.07 −1.06 −1.16 −0.94 −1.05
MAD 0.79 0.92 0.88 0.96 0.86 1.01 1.10 1.19 0.73 0.83 0.93 1.01 0.96 1.07 1.06 1.16 0.94 1.05
RSME 0.92 1.03 0.99 1.06 0.96 1.11 1.18 1.27 0.82 0.91 1.04 1.11 1.05 1.15 1.15 1.24 1.05 1.15
a

The columns labeled DZ and TZ correspond to the cc-pVDZ and cc-pVTZ basis sets

b

The mean signed deviation (MSD), mean absolute deviation (MAD), and root mean square error (RMSE) of the predicted logP is with respect to experiment

c

The predictions correspond to the submission ID: DYXBT