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:N6077
Name:styrene, 1-​(2-​methoxyethyl)​-​1-​methylpyrrolidinium tris(pentafluoroethyl)trifluorophosphate
Description:styrene [MeoeMPyrr]+[FAP]-
Labels:
CAS:
InChi Code:InChI=1S/C8H18NO.C8H8.C6F18P/c1-9(7-8-10-2)5-3-4-6-9;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/h3-8H2,1-2H3;2-7H,1H2;/q+1;;-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
4.063999249581348

experimental value

3.693873973140294

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

3.990445015539874

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