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: | N6490 | |
|---|---|---|
| Name: | aniline, 1-(3-hydroxypropyl)pyridinium tris(pentafluoroethyl)trifluorophosphate | |
| Description: | aniline [1-PrOHPy]+[FAP]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C8H12NO.C6F18P.C6H7N/c10-8-4-7-9-5-2-1-3-6-9;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;7-6-4-2-1-3-5-6/h1-3,5-6,10H,4,7-8H2;;1-5H,7H2/q+1;-1; |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 5.542628924350703 |
experimental value |
| 4.568294852466066 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 5.510337971841408 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |