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:N2838
Name:ethanol, 1-​(methylethylether)​-​3-​methylimidazolium bis(trifluoromethylsulfonyl)imide
Description:ethanol [MeoeMIm]+[Tf2N]-
Labels:
CAS:
InChi Code:InChI=1S/C7H13N2O.C2F6NO4S2.C2H6O/c1-8-3-4-9(7-8)5-6-10-2;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8;1-2-3/h3-4,7H,5-6H2,1-2H3;;3H,2H2,1H3/q+1;-1;

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
2.634630126410631

experimental value

2.675052780951673

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

2.664050304181358

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