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:N5523
Name:butanal, 1-(2-hydroxyethyl)-3-methylimidazolium tris(pentafluoroethyl)trifluorophosphate
Description:butanal [ETOHMIm]+[FAP]-
Labels:
CAS:
InChi Code:InChI=1S/C6F18P.C6H11N2O.C4H8O/c7-1(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;1-2-3-4-5/h;2-3,6,9H,4-5H2,1H3;4H,2-3H2,1H3/q-1;+1;

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
3.659670263973348

experimental value

2.828579863936269

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

3.609002731382564

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