title: 3D-QSAR analysis of MCD inhibitors by CoMFA and CoMSIA.
abstract: Three-dimensional quantitative structure-activity relationship was developed for the series of compounds as malonyl-CoA decarboxylase antagonists (MCD) using the CoMFA and CoMSIA methods. The statistical parameters for CoMFA (q(2)=0.558, r(2)=0.841) and CoMSIA (q(2)= 0.615, r(2) = 0.870) models were derived based on 38 compounds as training set in the basis of the selected alignment. The external predictive abilities of the built models were evaluated by using the test set of nine compounds. From obtained results, the CoMSIA method was found to have highly predictive capability in comparison with CoMFA method. Based on the given results by CoMSIA and CoMFA contour maps, some features that can enhance the activity of compounds as MCD antagonists were introduced and used to design new compounds with better inhibition activity.
authors.affiliation: Department of Chemistry, Payame Noor University (PNU), P. O. Box 19395-3697, Tehran, Iran. pourbasheer@ut.ac.ir.
authors.forename: Eslam
authors.initials: E
authors.lastname: Pourbasheer
authors.forename: Reza
authors.initials: R
authors.lastname: Aalizadeh
authors.forename: Amin
authors.initials: A
authors.lastname: Ebadi
authors.forename: Mohammad Reza
authors.initials: MR
authors.lastname: Ganjali
mesh_terms: D002262:Carboxy-Lyases / Q000037:antagonists & inhibitors*; D003198:Computer Simulation; D015195:Drug Design; D004791:Enzyme Inhibitors / Q000138:chemical synthesis / Q000737:chemistry*; D021281:Quantitative Structure-Activity Relationship
chemical_list: D004791:Enzyme Inhibitors; D002262:Carboxy-Lyases; C021532:malonyl-CoA decarboxylase