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: | N4198 | |
|---|---|---|
| Name: | methyl propanoate, n-butyl-n-methylpyrrolidinium tris(pentafluoroethyl)trifluorophosphate | |
| Description: | methyl propanoate [BMPyrr]+[FAP]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C9H20N.C6F18P.C4H8O2/c1-3-4-7-10(2)8-5-6-9-10;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;1-3-4(5)6-2/h3-9H2,1-2H3;;3H2,1-2H3/q+1;-1; |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 3.114 |
experimental value |
| 2.968091555617339 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 3.117436801910091 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |