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:N5135
Name:2-butanol, n-butyl-n-methylpyrrolidinium tricyanomethanide
Description:2-butanol [BMPyrr]+[C(CN)3]-
Labels:
CAS:
InChi Code:InChI=1S/C9H20N.C4N3.C4H10O/c1-3-4-7-10(2)8-5-6-9-10;5-1-4(2-6)3-7;1-3-4(2)5/h3-9H2,1-2H3;;4-5H,3H2,1-2H3/q+1;-1;

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
3.472

experimental value

3.322983489058688

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

3.439994972427743

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