10967/266 - QDB Compounds

QsarDB Repository

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:N5845
Name:styrene, 1-hexyl-3-methylimidazolium triflate
Description:styrene [MHIm]+[CF3SO3]-
Labels:
CAS:
InChi Code:InChI=1S/C10H19N2.C8H8.CHF3O3S/c1-3-4-5-6-7-12-9-8-11(2)10-12;1-2-8-6-4-3-5-7-8;2-1(3,4)8(5,6)7/h8-10H,3-7H2,1-2H3;2-7H,1H2;(H,5,6,7)/q+1;;/p-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
3.848

experimental value

3.452830662289285

MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions)

3.844900000000006

RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions)