Title of article :
QSAR modeling of the inhibition of Glycogen Synthase Kinase-3 Original Research Article
Author/Authors :
Alan R. Katritzky، نويسنده , , Liliana M. Pacureanu، نويسنده , , Dimitar A. Dobchev، نويسنده , , Dan C. Fara، نويسنده , , Pablo R. Duchowicz، نويسنده , , Mati Karelson، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Abstract :
Quantitative structure–activity relationship (QSAR) models of the biological activity (pIC50) of 277 inhibitors of Glycogen Synthase Kinase-3 (GSK-3) are developed using geometrical, topological, quantum mechanical, and electronic descriptors calculated by CODESSA PRO. The linear (multilinear regression) and nonlinear (artificial neural network) models obtained link the structures to their reported activity pIC50. The results are discussed in the light of the main factors that influence the inhibitory activity of the GSK-3 enzyme.
Keywords :
kinase , Inhibitory activity IC50 , stepwise regression , Artificial neural network , CODESSA PRO
Journal title :
Bioorganic and Medicinal Chemistry
Journal title :
Bioorganic and Medicinal Chemistry