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:N6353
Name:benzaldehyde, 1-(2-hydroxyethyl)-3-methylimidazolium tris(pentafluoroethyl)trifluorophosphate
Description:benzaldehyde [ETOHMIm]+[FAP]-
Labels:
CAS:
InChi Code:InChI=1S/C7H6O.C6F18P.C6H11N2O/c8-6-7-4-2-1-3-5-7;7-1(8,9)4(16,17)25(22,23,24,5(18,19)2(10,11)12)6(20,21)3(13,14)15;1-7-2-3-8(6-7)4-5-9/h1-6H;;2-3,6,9H,4-5H2,1H3/q;-1;+1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
4.942830681257105

experimental value

4.937136133079733

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

4.840170209769914

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