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:N3612
Name:2-butanone, 1-butyl-3-methylimidazolium bis(pentafluoroethylsulfonyl)imide
Description:2-butanone [BMIm]+[BETI]-
Labels:
CAS:
InChi Code:InChI=1S/C8H15N2.C4F10NO4S2.C4H8O/c1-3-4-5-10-7-6-9(2)8-10;5-1(6,7)3(11,12)20(16,17)15-21(18,19)4(13,14)2(8,9)10;1-3-4(2)5/h6-8H,3-5H2,1-2H3;;3H2,1-2H3/q+1;-1;

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
2.905276170529416

experimental value

2.802045316187631

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

3.008645939642319

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