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:N5370
Name:1-butanol, 1-(3-cyanopropyl)-3-methylimidazolium dicyanamide
Description:1-butanol [CNPrMIm]+[N(CN)2]-
Labels:
CAS:
InChi Code:InChI=1S/C8H12N3.C4H10O.C2N3/c1-10-6-7-11(8-10)5-3-2-4-9;1-2-3-4-5;3-1-5-2-4/h6-8H,2-3,5H2,1H3;5H,2-4H2,1H3;/q+1;;-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
3.587372279054169

experimental value

3.206985137917347

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

3.659687593200165

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