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:N160
Name:heptane, 1-ethyl-3-methylimidazolium nitrate
Description:heptane [MEIm]+[NO3]-
Labels:
CAS:
InChi Code:InChI=1S/C7H16.C6H11N2.NO3/c1-3-5-7-6-4-2;1-3-8-5-4-7(2)6-8;2-1(3)4/h3-7H2,1-2H3;4-6H,3H2,1-2H3;/q;+1;-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
0.718

experimental value

1.281366494605134

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

0.8875200000000015

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