Comparison of quantitative structure-activity relationship model performances on carboquinone derivatives.
Quantitative structure-activity relationship (qSAR) models are used to understand how the structure and activity of chemical compounds relate. In the present study, 37 carboquinone derivatives were evaluated and two different qSAR models were developed using members of the Molecular Descriptors Family (MDF) and the Molecular Descriptors Family on Vertices (MDFV). The usual parameters of regression models and the following estimators were defined and calculated in order to analyze the validity and to compare the models: Akaike's information criteria (three parameters), Schwarz (or Bayesian) information criterion, Amemiya prediction criterion, Hannan-Quinn criterion, Kubinyi function, Steiger's Z test, and Akaike's weights. The MDF and MDFV models proved to have the same estimation ability of the goodness-of-fit according to Steiger's Z test. The MDFV model proved to be the best model for the considered carboquinone derivatives according to the defined information and prediction criteria, Kubinyi function, and Akaike's weights.
Iuliu Haţieganu University of Medicine and Pharmacy Cluj-Napoca, Department of Medical Informatics and Biostatistics, 6 Louis Pasteur, Cluj-Napoca, Cluj, Romania. sbolboaca@umfcluj.ro
Sorana-Daniela
SD
Bolboacă
Lorentz
L
Jäntschi
D000818:Animals; D002225:Carbazilquinone / Q000008:administration & dosage* / Q000031:analogs & derivatives / Q000737:chemistry*; D008136:Longevity / Q000187:drug effects*; D051379:Mice; D015394:Molecular Structure; D021281:Quantitative Structure-Activity Relationship
D002225:Carbazilquinone