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:N6361
Name:benzonitrile, 1-​(2-​methoxyethyl)​-​1-​methylpiperidinium tris(pentafluoroethyl)trifluorophosphate
Description:benzonitrile [MeoeMPip]+[FAP]-
Labels:
CAS:
InChi Code:InChI=1S/C9H20NO.C7H5N.C6F18P/c1-3-11-9-10(2)7-5-4-6-8-10;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/h3-9H2,1-2H3;1-5H;/q+1;;-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
4.990204595617421

experimental value

5.660071296734708

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

4.984415066793598

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