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:N6257
Name:octanal, 1-(2-hydroxyethyl)-3-methylimidazolium tris(pentafluoroethyl)trifluorophosphate
Description:octanal [ETOHMIm]+[FAP]-
Labels:
CAS:
InChi Code:InChI=1S/C8H16O.C6F18P.C6H11N2O/c1-2-3-4-5-6-7-8-9;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/h8H,2-7H2,1H3;;2-3,6,9H,4-5H2,1H3/q;-1;+1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
4.462172642437913

experimental value

4.180579326610699

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

4.314199164243936

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