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:N2351
Name:1-heptyne, 2-methoxyethyl(dimethyl)ethylammonium tris(pentafluoroethyl)trifluorophosphate
Description:1-heptyne [MeoeM2EAm]+[FAP]-
Labels:
CAS:
InChi Code:InChI=1S/C7H18NO.C7H12.C6F18P/c1-5-8(2,3)6-7-9-4;1-3-5-7-6-4-2;7-1(8,9)4(16,17)25(22,23,24,5(18,19)2(10,11)12)6(20,21)3(13,14)15/h5-7H2,1-4H3;1H,4-7H2,2H3;/q+1;;-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
2.42

experimental value

2.563331037020864

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

2.377143221195979

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