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:N1129
Name:1-hexene, 1-butyl-3-methylimidazolium 4,​5-​dicyano-​2-​(trifluoromethyl)​imidazolide
Description:1-hexene [BMIm]+[TDI]-
Labels:
CAS:
InChi Code:InChI=1S/C8H15N2.C6F3N4.C6H12/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;1-3-5-6-4-2/h6-8H,3-5H2,1-2H3;;3H,1,4-6H2,2H3/q+1;-1;

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
1.765

experimental value

1.621740669352627

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

1.735454364048876

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