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:N1199
Name:1-pentyne, 1-ethyl-3-methylimidazolium trifluoroacetate
Description:1-pentyne [MEIm]+[AcF3]-
Labels:
CAS:
InChi Code:InChI=1S/C6H11N2.C5H8.C2HF3O2/c1-3-8-5-4-7(2)6-8;1-3-5-4-2;3-2(4,5)1(6)7/h4-6H,3H2,1-2H3;1H,4-5H2,2H3;(H,6,7)/q+1;;/p-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
1.806

experimental value

1.715401831870524

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

1.764843106667891

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