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:N33
Name:1,​2-​dimethyl-​3-​ethylimidazolium
Description:[M2EIm]+
Labels:
CAS:
InChi Code:InChI=1S/C7H13N2/c1-4-9-6-5-8(3)7(9)2/h5-6H,4H2,1-3H3/q+1

Properties

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

ValueSource or prediction
1.21

experimental value

1.209117531848623

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

1.247122032953472

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
1.6237

experimental value

1.686681558359292

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

1.630277275910246

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
2.814

experimental value

2.800138408303391

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

2.803553010671363

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