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:N5506
Name:ethylbenzene, n-decyl-n-methylpyrrolidinium bis(trifluoromethylsulfonyl)imide
Description:ethylbenzene [C10MPyrr]+[Tf2N]-
Labels:
CAS:
InChi Code:InChI=1S/C15H32N.C8H10.C2F6NO4S2/c1-3-4-5-6-7-8-9-10-13-16(2)14-11-12-15-16;1-2-8-6-4-3-5-7-8;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h3-15H2,1-2H3;3-7H,2H2,1H3;/q+1;;-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
3.65

experimental value

3.649004404159608

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

3.676734800165768

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