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: | N6138 | |
|---|---|---|
| Name: | methyl hexanoate, 1-(3-hydroxypropyl)pyridinium tris(pentafluoroethyl)trifluorophosphate | |
| Description: | methyl hexanoate [1-PrOHPy]+[FAP]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C8H12NO.C7H14O2.C6F18P/c10-8-4-7-9-5-2-1-3-6-9;1-3-4-5-6-7(8)9-2;7-1(8,9)4(16,17)25(22,23,24,5(18,19)2(10,11)12)6(20,21)3(13,14)15/h1-3,5-6,10H,4,7-8H2;3-6H2,1-2H3;/q+1;;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 4.164507887273125 |
experimental value |
| 4.206738717620453 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 3.984266698760612 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |