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:N6184
Name:octanal, 1-butyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide
Description:octanal [MBIm]+[Tf2N]-
Labels:
CAS:
InChi Code:InChI=1S/C8H15N2.C8H16O.C2F6NO4S2/c1-3-4-5-10-7-6-9(2)8-10;1-2-3-4-5-6-7-8-9;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h6-8H,3-5H2,1-2H3;8H,2-7H2,1H3;/q+1;;-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
4.258510648248187

experimental value

4.202220783705384

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

4.273893510182498

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