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:N4036
Name:butanal, 1-butyl-3-methylimidazolium 4,​5-​dicyano-​2-​(trifluoromethyl)​imidazolide
Description:butanal [BMIm]+[TDI]-
Labels:
CAS:
InChi Code:InChI=1S/C8H15N2.C6F3N4.C4H8O/c1-3-4-5-10-7-6-9(2)8-10;7-6(8,9)5-12-3(1-10)4(2-11)13-5;1-2-3-4-5/h6-8H,3-5H2,1-2H3;;4H,2-3H2,1H3/q+1;-1;

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
3.053

experimental value

3.021064439699045

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

2.986754720349112

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