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:N1
Name:1-(3-hydroxypropyl)pyridinium
Description:[1-PrOHPy]+
Labels:
CAS:
InChi Code:InChI=1S/C8H12NO/c10-8-4-7-9-5-2-1-3-6-9/h1-3,5-6,10H,4,7-8H2/q+1

Properties

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

ValueSource or prediction
0.904

experimental value

0.9007298579023585

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

0.6995348186981065

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
1.399

experimental value

1.316512909013193

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

1.284734151967887

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
2.663

experimental value

2.570609305608823

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

2.663911353247592

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