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:N23
Name:1-Dodecyl-3-methylimidazolium
Description:[DoMIm]+
Labels:
CAS:
InChi Code:InChI=1S/C16H31N2/c1-3-4-5-6-7-8-9-10-11-12-13-18-15-14-17(2)16-18/h14-16H,3-13H2,1-2H3/q+1

Properties

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

ValueSource or prediction
2.002

experimental value

2.000859178192733

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

2.052712300988319

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
2.321

experimental value

2.402972603604772

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

2.310094309971444

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
2.943

experimental value

2.944599977662843

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

2.884289907701311

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