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:N736
Name:tert-butyl methyl ether, 1-butyl-3-methylimidazolium thiocyanate
Description:tert-butyl methyl ether [MBIm]+[SCN]-
Labels:
CAS:
InChi Code:InChI=1S/C8H15N2.C5H12O.CHNS/c1-3-4-5-10-7-6-9(2)8-10;1-5(2,3)6-4;2-1-3/h6-8H,3-5H2,1-2H3;1-4H3;3H/q+1;;/p-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
1.495

experimental value

1.7650408756974

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

1.553948418693452

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