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:N1572
Name:1-hexyne, 4-​(2-​methoxyethyl)​-​4-​methylmorpholinium tris(pentafluoroethyl)trifluorophosphate
Description:1-hexyne [MeoeMMorp]+[FAP]-
Labels:
CAS:
InChi Code:InChI=1S/C8H18NO2.C6F18P.C6H10/c1-9(3-6-10-2)4-7-11-8-5-9;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;1-3-5-6-4-2/h3-8H2,1-2H3;;1H,4-6H2,2H3/q+1;-1;

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
2.012

experimental value

2.171437815758138

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

2.017365135168002

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