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: | N896 | |
|---|---|---|
| Name: | tert-butyl ethyl ether, n-butyl-n-methylpyrrolidinium dicyanamide | |
| Description: | tert-butyl ethyl ether [BMPyrr]+[N(CN)2]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C9H20N.C6H14O.C2N3/c1-3-4-7-10(2)8-5-6-9-10;1-5-7-6(2,3)4;3-1-5-2-4/h3-9H2,1-2H3;5H2,1-4H3;/q+1;;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 1.608038608389793 |
experimental value |
| 2.069893521870284 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR holdout predictions) |
| 1.658571271474505 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF holdout predictions) |