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:N2911
Name:pentanal, 1-ethyl-3-methylimidazolium ethylsulfate
Description:pentanal [MEIm]+[EtSO4]-
Labels:
CAS:
InChi Code:InChI=1S/C6H11N2.C5H10O.C2H6O4S/c1-3-8-5-4-7(2)6-8;1-2-3-4-5-6;1-2-6-7(3,4)5/h4-6H,3H2,1-2H3;5H,2-4H2,1H3;2H2,1H3,(H,3,4,5)/q+1;;/p-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
2.665

experimental value

2.885896647912809

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

2.906214051637473

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