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:N3485
Name:1-octyne, 1-​(2-​methoxyethyl)​-​1-​methylpiperidinium bis(trifluoromethylsulfonyl)imide
Description:1-octyne [MeoeMPip]+[(Tf)2N]-
Labels:
CAS:
InChi Code:InChI=1S/C9H20NO.C8H14.C2F6NO4S2/c1-3-11-9-10(2)7-5-4-6-8-10;1-3-5-7-8-6-4-2;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h3-9H2,1-2H3;1H,4-8H2,2H3;/q+1;;-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
2.863

experimental value

2.762548739477596

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

2.894958932570093

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