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:N4978
Name:ethylbenzene, 1-(3-hydroxypropyl)pyridinium tris(pentafluoroethyl)trifluorophosphate
Description:ethylbenzene [1-PrOHPy]+[FAP]-
Labels:
CAS:
InChi Code:InChI=1S/C8H12NO.C8H10.C6F18P/c10-8-4-7-9-5-2-1-3-6-9;1-2-8-6-4-3-5-7-8;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/h1-3,5-6,10H,4,7-8H2;3-7H,2H2,1H3;/q+1;;-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
3.410678141949826

experimental value

3.519485796363645

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

3.395860736439035

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