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:N3846
Name:2-butanone, 1-benzyl-1-methylpyrrolidinium bis(trifluoromethylsulfonyl)imide
Description:2-butanone [BzMPyrr]+[Tf2N]-
Labels:
CAS:
InChi Code:InChI=1S/C12H18N.C4H8O.C2F6NO4S2/c1-13(9-5-6-10-13)11-12-7-3-2-4-8-12;1-3-4(2)5;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h2-4,7-8H,5-6,9-11H2,1H3;3H2,1-2H3;/q+1;;-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
2.986

experimental value

2.749822434423109

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

3.084456516817658

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