'Sum of activities' as dependent parameter: a new CoMFA-based approach for the design of pan PPAR agonists.
A 'sum-model' (3D QSAR - CoMFA) has been developed to design PPAR(alpha/gamma/delta) (peroxisome proliferator activated receptor) pan agonists by using the sum of activities (EC(50)) of compounds against individual subtypes as a dependent parameter. In addition, the three subtype specific CoMFA models were also generated using the identical training set molecules (N=28). All four models were validated using the popular 'leave-one-out' (LOO) method and with a test set of 9 molecules. The generated models were found to be statistically significant with r(cv)(2)>0.5 and r(ncv)(2)>0.9 and the lower values of standard error of estimation (SEE) ranging from 0.097 to 0.160. From the contour map analyses the 'sum-model' was found to represent the three subtype specific models and also predicted the sum of activities of the training set molecules with reasonable accuracy. The new molecules were designed based on the 'sum-model' and were found to dock well in the PPARgamma active site. This approach may find wider applications in the research related to other classes of 'designed multiple ligands'.
Sundriyal
Sandeep
S
Department of Medicinal Chemistry, National Institute of Pharmaceutical Education and Research, Phase X, S.A.S. Nagar, Mohali 160 062, Punjab, India.
Bharatam
Prasad V
PV
D001185:Artificial Intelligence; D020134:Catalytic Domain; D015195:Drug Design; D008958:Models, Molecular; D047495:PPAR gamma / Q000819:agonists; D047492:Peroxisome Proliferator-Activated Receptors / Q000819:agonists*; D011485:Protein Binding; D021281:Quantitative Structure-Activity Relationship
D047495:PPAR gamma; D047492:Peroxisome Proliferator-Activated Receptors