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:N4706
Name:2-butanol, 1-hydroxypropyl-3-methylimidazolium dicyanamide
Description:2-butanol [PrOHMIm]+[N(CN)2]-
Labels:
CAS:
InChi Code:InChI=1S/C7H13N2O.C4H10O.C2N3/c1-8-4-5-9(7-8)3-2-6-10;1-3-4(2)5;3-1-5-2-4/h4-5,7,10H,2-3,6H2,1H3;4-5H,3H2,1-2H3;/q+1;;-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
3.312642102495922

experimental value

2.97717562655225

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

3.148575257368432

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