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:N5454
Name:nitromethane, n-butyl-n-methylpyrrolidinium dicyanamide
Description:nitromethane [BMPyrr]+[N(CN)2]-
Labels:
CAS:
InChi Code:InChI=1S/C9H20N.C2N3.CH3NO2/c1-3-4-7-10(2)8-5-6-9-10;3-1-5-2-4;1-2(3)4/h3-9H2,1-2H3;;1H3/q+1;-1;

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
3.628

experimental value

3.264605886213873

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

3.481731854110395

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