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:N2456
Name:1-hexyne, tetraoctylphosphonium bis(trifluoromethylsulfonyl)imide
Description:1-hexyne [O4P]+[(Tf)2N]-
Labels:
CAS:
InChi Code:InChI=1S/C32H68P.C6H10.C2F6NO4S2/c1-5-9-13-17-21-25-29-33(30-26-22-18-14-10-6-2,31-27-23-19-15-11-7-3)32-28-24-20-16-12-8-4;1-3-5-6-4-2;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h5-32H2,1-4H3;1H,4-6H2,2H3;/q+1;;-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
2.47195238065554

experimental value

2.346058733491201

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

2.480456584408148

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