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:N4182
Name:ethanol, n-butyl-n-methylpyrrolidinium triflate
Description:ethanol [BMPyrr]+[Trif]-
Labels:
CAS:
InChi Code:InChI=1S/C9H20N.C2H6O.CHF3O3S/c1-3-4-7-10(2)8-5-6-9-10;1-2-3;2-1(3,4)8(5,6)7/h3-9H2,1-2H3;3H,2H2,1H3;(H,5,6,7)/q+1;;/p-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
3.107

experimental value

2.860528493400735

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

3.142254166068301

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