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:N51
Name:N-propyl-N-methylpiperidinium
Description:[PMPip]+
Labels:
CAS:
InChi Code:InChI=1S/C9H20N/c1-3-7-10(2)8-5-4-6-9-10/h3-9H2,1-2H3/q+1

Properties

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

ValueSource or prediction
1.156

experimental value

1.302986615754529

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

1.316965978988343

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
1.623

experimental value

1.752380779699561

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

1.764580756774018

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
2.853257206527267

experimental value

2.837366919388263

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

2.85258910436936

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