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:N5971
Name:isopropylbenzene, 1-dodecyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide
Description:isopropylbenzene [DoMIm]+[(Tf)2N]-
Labels:
CAS:
InChi Code:InChI=1S/C16H31N2.C9H12.C2F6NO4S2/c1-3-4-5-6-7-8-9-10-11-12-13-18-15-14-17(2)16-18;1-8(2)9-6-4-3-5-7-9;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h14-16H,3-13H2,1-2H3;3-8H,1-2H3;/q+1;;-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
3.94

experimental value

3.81755507133347

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

3.746416479839756

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