10967/266 - QDB Compounds

QsarDB Repository

Toots, K. M.; Sild, S.; Leis, J.; Acree, W. E.; Maran, U. A multicomponent QSPR approach to describe and predict gas-ionic liquid distribution of organic solutes using machine learning. J. Mol. Liq. 2025, 436, 128184.

Compound

ID:N3210
Name:2-methyl-2-propanol, 1,​2-​dimethyl-​3-​ethylimidazolium bis(trifluoromethylsulfonyl)imide
Description:2-methyl-2-propanol [M2EIm]+[Tf2N]-
Labels:
CAS:
InChi Code:InChI=1S/C7H13N2.C4H10O.C2F6NO4S2/c1-4-9-6-5-8(3)7(9)2;1-4(2,3)5;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h5-6H,4H2,1-3H3;5H,1-3H3;/q+1;;-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
2.767

experimental value

2.940448801156564

MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions)

2.793209621618498

RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions)