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: | N5204 | |
|---|---|---|
| Name: | pyridine, 4-ethyl-4-methylmorpholinium dicyanamide | |
| Description: | pyridine [EMMorp]+[N(CN)2]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C7H16NO.C5H5N.C2N3/c1-3-8(2)4-6-9-7-5-8;1-2-4-6-5-3-1;3-1-5-2-4/h3-7H2,1-2H3;1-5H;/q+1;;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 3.502873654616962 |
experimental value |
| 3.661931205276713 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 3.54142341023236 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |