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: | N64 | |
|---|---|---|
| Name: | propene, 3-methyl-n-butylpyridinium tetrafluoroborate | |
| Description: | propene [3-MBPy]+[BF4]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C10H16N.C3H6.BF4/c1-3-4-7-11-8-5-6-10(2)9-11;1-3-2;2-1(3,4)5/h5-6,8-9H,3-4,7H2,1-2H3;3H,1H2,2H3;/q+1;;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 0.294 |
experimental value |
| 1.04203195699307 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 0.2961400000000001 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |