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:N3378
Name:propanone, 1,​3-​di(hexyloxymethyl)​imidazolium bis(trifluoromethylsulfonyl)imide
Description:propanone [(Hexom)2Im]+[Tf2N]-
Labels:
CAS:
InChi Code:InChI=1S/C17H33N2O2.C3H6O.C2F6NO4S2/c1-3-5-7-9-13-20-16-18-11-12-19(15-18)17-21-14-10-8-6-4-2;1-3(2)4;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h11-12,15H,3-10,13-14,16-17H2,1-2H3;1-2H3;/q+1;;-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
2.827

experimental value

2.512280349035468

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

2.745412389333926

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