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: | N3497 | |
|---|---|---|
| Name: | methanol, 1-butyl-1-methylmorpholinium tricyanomethanide | |
| Description: | methanol [BMMorp]+[C(CN)3]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C9H20NO.C4N3.CH4O/c1-3-4-5-10(2)6-8-11-9-7-10;5-1-4(2-6)3-7;1-2/h3-9H2,1-2H3;;2H,1H3/q+1;-1; |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 2.867890999792396 |
experimental value |
| 2.698717480950145 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 2.961745228231381 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |