Table 2 Reported performances of the thermodynamic solubility models published from 2008 to 2014.
From: Will we ever be able to accurately predict solubility?
Year | Reference | Descriptors | Size | Dataset | Method | RMSE | R2 |
|---|---|---|---|---|---|---|---|
2008 | Cheung et al.105 | MOE | 110 | Litterature | MLR | — | 0.9 |
ANN | 0.85 | ||||||
Duchowicz et al.106 | Dragon | 166 | Merck Index | RM | — | 0.85 | |
Huuskonen et al.48 | DayLight | 191 | AquaSol, Merck Index, ChemFinder & PhysProp | MLR | — | 0.8 | |
Hughes et al.107 | cLopP & Tm | 237 | Bergström et al., Rytting et al. & Wassvik et al. | MLR | 1.03 | 0.63 | |
SVM | |||||||
Zhou et al.49 | ECFP | 1,299 | Huuskonen et al. | PLS | 0.71 | 0.85 | |
Husskonen et al.48 | cLogP & Counts | 365 | AquaSol | MLR | — | 0.87 | |
Du-Cuny et al.108 | LogP, Fragments & Index | 2,473 | Roche proprietary | PLS | 0.42 | 0.84 | |
Obrezanova et al.109 | ATC, logP, Volume & MW | 592 | Syracuse | GP | 0.71 | 0.88 | |
2009 | Wang et al.21 | ATC,ClogP, MW | 4,874 | Delaney et al. & Huuskonen et al. | MLR | 0.98 | 0.83 |
Hewitt et al.53 | LogP, Tb & Dragon | 104 | SC1 | MLR | 0.95 | 0.74 | |
ANN | 1.51 | 0.79 | |||||
Duchowicz & Castro110 | Dragon | 145 | Merck Index | MLR | 0.9 | 0.76 | |
2010 | Ghafourian & Bozorgi111 | ACD-Labs & TSAR 3D | 141 | Rytting et al. | SR | 0.71 | — |
Muratov et al.112 | 2D Simplex | 290 | Klampt et al. | PLS | — | 0.81 | |
Cao et al.65 | Dragon | 225 | Llinas et al. & Merck Index | SVR | — | 0.74 | |
Jain & Yalkowsky113 | Activity coefficients, Melting Entropy & MP | 883 | AquaSol & EPA | TE | — | 0.73 | |
Eric et al.114. | CODESSA | 319 | Rytting et al. | MLR | 0.96 | 0.66 | |
Louis at al115 | Marvin & Karselson | 74 | Bergstrom et al. & others | MLR | 0.8 | 0.55 | |
ANN | 0.74 | 0.59 | |||||
SVM | 0.83 | 0.53 | |||||
Fatemi et al.116 | LFER from ADME Boxes | 145 | Duchowicz et al. | MLR | 0.92 | 0.71 | |
LS-SVM | 0.73 | 0.85 | |||||
ANN | 0.75 | 0.72 | |||||
2012 | Chevillard et al.64 | MOE, ADMET predictor & ISIDA | 4,897 | PhysProp, Huuskonen et al. & SC1 | RF | 0.51 | 0.62 |
0.72 | 0.56 | ||||||
0.89 | 0.23 | ||||||
Slavica et al.50 | CODESSA | 374 | Eric Slavica et al. | CPANN | 0.68 | — | |
2013 | Lusci et al.47 | 2D Graph | 1,144 | Delaney et al. | UG-RNN | 0.58 | 0.92 |
UG-RNN-CR | 0.79 | 0.86 | |||||
UG-RNN + logP | 0.61 | 0.91 | |||||
UG-RNN-CR + log P | 0.63 | 0.91 | |||||
2D kernel | 0.61 | 0.91 | |||||
Salahinejad et al.117 | VOLSURF, CPSA, Energy lattice and Sublimation enthalpie | 4,376 | PhysProp | MLR | — | 0.9 | |
2014 | McDonagh et al.118 | CDK | 100 | CSD | PLS | 1.08 | — |
RF | 0.93 | ||||||
SVR | 1.17 |