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:N6356
Name:benzonitrile, 2-methoxyethyl(dimethyl)ethylammonium tris(pentafluoroethyl)trifluorophosphate
Description:benzonitrile [MeoeM2EAm]+[FAP]-
Labels:
CAS:
InChi Code:InChI=1S/C7H18NO.C7H5N.C6F18P/c1-5-8(2,3)6-7-9-4;8-6-7-4-2-1-3-5-7;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/h5-7H2,1-4H3;1-5H;/q+1;;-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
4.955217486676242

experimental value

5.621109738182065

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

4.881862980506465

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