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:N39
Name:1-hexyl-3-methylimidazolium
Description:[MHIm]+
Labels:
CAS:
InChi Code:InChI=1S/C10H19N2/c1-3-4-5-6-7-12-9-8-11(2)10-12/h8-10H,3-7H2,1-2H3/q+1

Properties

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

ValueSource or prediction
1.66

experimental value

1.55644393064563

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

1.620667841635969

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
2.002

experimental value

1.968249667007108

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

1.952721683988036

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
2.886

experimental value

2.901957401032223

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

2.887101774282208

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