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:N4561
Name:2-pentanone, 2-hydroxyethyl(dimethyl)isopropylammonium bis(trifluoromethylsulfonyl)imide
Description:2-pentanone [EtOHM2iPAm]+[(Tf)2N]-
Labels:
CAS:
InChi Code:InChI=1S/C7H18NO.C5H10O.C2F6NO4S2/c1-7(2)8(3,4)5-6-9;1-3-4-5(2)6;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h7,9H,5-6H2,1-4H3;3-4H2,1-2H3;/q+1;;-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
3.253

experimental value

2.814212931429887

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

3.317406080007298

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