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:N1274
Name:1-octene, 1-ethyl-3-methylimidazolium triflate
Description:1-octene [MEIm]+[CF3SO3]-
Labels:
CAS:
InChi Code:InChI=1S/C8H16.C6H11N2.CHF3O3S/c1-3-5-7-8-6-4-2;1-3-8-5-4-7(2)6-8;2-1(3,4)8(5,6)7/h3H,1,4-8H2,2H3;4-6H,3H2,1-2H3;(H,5,6,7)/q;+1;/p-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
1.853

experimental value

1.946481660605055

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

1.77543

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