10967/256 - QDB Compounds

QsarDB Repository

Toots, K. M.; Sild, S.; Leis, J.; Acree Jr., W. E.; Maran, U. Machine learning Quantitative Structure-Property Relationships as a function of ionic liquid cations for the gas-ionic liquid partition coefficient of hydrocarbons. Int. J. Mol. Sci. 2022, 23, 7534.

Compound

ID:N16
Name:N-octyl-N-methylpyrrolidinium
Description:[C8MPyrr]+
Labels:
CAS:
InChi Code:InChI=1S/C13H28N/c1-3-4-5-6-7-8-11-14(2)12-9-10-13-14/h3-13H2,1-2H3/q+1

Properties

logKh: Gas-ionic liquid partition coefficient of hexane in [Tf2N]- ionic liquids

ValueSource or prediction
1.63

experimental value

1.732252943418598

SVRh: Support Vector Regression model for logK of hexane in [Tf2N]- ionic liquids (Training set)

1.729833317375487

MLRh-Eq23: Multiple Linear Regression model for logK of hexane in [Tf2N]- ionic liquids (Training set)

logKc: Gas-ionic liquid partition coefficient of cyclohexane in [Tf2N]- ionic liquids

ValueSource or prediction
2.04

experimental value

2.10590303405834

MLRc-Eq24: Multiple Linear Regression model for logK of cyclohexane in [Tf2N]- ionic liquids (Training set)

2.088178432571959

SVRc: Support Vector Regression model for logK of cyclohexane in [Tf2N]- ionic liquids (Training set)

logKb: Gas-ionic liquid partition coefficient of benzene in [Tf2N]- ionic liquids

ValueSource or prediction
2.89

experimental value

2.870369257406212

MLRb-Eq25: Multiple Linear Regression model for logK of benzene in [Tf2N]- ionic liquids (Training set)

2.94637804826203

SVRb: Support Vector Regression model for logK of benzene in [Tf2N]- ionic liquids (Training set)