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:N1136
Name:1-hexene, 1-​hexyloxymethyl-​3-​methyl​imidazolium bis(trifluoromethylsulfonyl)imide
Description:1-hexene [HexomMIm]+[Tf2N]-
Labels:
CAS:
InChi Code:InChI=1S/C11H21N2O.C6H12.C2F6NO4S2/c1-3-4-5-6-9-14-11-13-8-7-12(2)10-13;1-3-5-6-4-2;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h7-8,10H,3-6,9,11H2,1-2H3;3H,1,4-6H2,2H3;/q+1;;-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
1.77

experimental value

1.467386650297758

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

1.789921933240551

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