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:N19
Name:N-Cyclohexylmethyl-N-methylpyrrolidinium
Description:[ChxMPyrr]+
Labels:
CAS:
InChi Code:InChI=1S/C12H24N/c1-13(9-5-6-10-13)11-12-7-3-2-4-8-12/h12H,2-11H2,1H3/q+1

Properties

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

ValueSource or prediction
1.519

experimental value

1.51562932868503

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

1.456318518200621

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
1.945

experimental value

1.848153304145936

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

1.870846134024348

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
2.902

experimental value

2.872113547202343

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

2.903172800589048

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