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:N4632
Name:butanal, 1-hexyl-3-methylimidazolium tetracyanoborate
Description:butanal [MHIm]+[B(CN)4]-
Labels:
CAS:
InChi Code:InChI=1S/C10H19N2.C4BN4.C4H8O/c1-3-4-5-6-7-12-9-8-11(2)10-12;6-1-5(2-7,3-8)4-9;1-2-3-4-5/h8-10H,3-7H2,1-2H3;;4H,2-3H2,1H3/q+1;-1;

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
3.287

experimental value

3.055990508374305

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

3.153351283026361

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