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:N4099
Name:butanal, 1-​(2-​methoxyethyl)​-​1-​methylpiperidinium tris(pentafluoroethyl)trifluorophosphate
Description:butanal [MeoeMPip]+[FAP]-
Labels:
CAS:
InChi Code:InChI=1S/C9H20NO.C6F18P.C4H8O/c1-3-11-9-10(2)7-5-4-6-8-10;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/h3-9H2,1-2H3;;4H,2-3H2,1H3/q+1;-1;

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
3.075154216702352

experimental value

3.094150829218568

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

3.08050460633509

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