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:N6273
Name:propionic acid, 1-(3-hydroxypropyl)pyridinium tris(pentafluoroethyl)trifluorophosphate
Description:propionic acid [1-PrOHPy]+[FAP]-
Labels:
CAS:
InChi Code:InChI=1S/C8H12NO.C6F18P.C3H6O2/c10-8-4-7-9-5-2-1-3-6-9;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;1-2-3(4)5/h1-3,5-6,10H,4,7-8H2;;2H2,1H3,(H,4,5)/q+1;-1;

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
4.513495392660426

experimental value

3.653045729225232

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

4.385396232719782

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