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:N53
Name:4-​(3-​hydroxypropyl)​-​4-​methylmorpholinium
Description:[PrOHMMorp]+
Labels:
CAS:
InChi Code:InChI=1S/C8H18NO2/c1-9(3-2-6-10)4-7-11-8-5-9/h10H,2-8H2,1H3/q+1

Properties

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

ValueSource or prediction
0.209

experimental value

0.6022941888246093

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

0.4636280369630308

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
0.8358760690385105

experimental value

1.182467577395574

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

1.191591536723743

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
2.434218435680792

experimental value

2.572371152219846

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

2.435567681009608

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