Document Type : Full research article

Authors

• Zahra Garkani Nejad ¹
• Abuozar Ghanbari ²

¹ Chemistry Department, Faculty of Science, Shahid Bahonar University of Kerman, Kerman, Iran

² MAPNA Group Operation and Maintenance, North Mosaddeq St., Mirdamad Blvd., Tehran, Iran

Abstract

Three-dimensional quantitative structure-activity relationship (3D-QSAR) techniques are useful methods for ligand-based drug design by correlating physicochemical descriptors from a set of related compounds to their known molecular activity or molecular property values. A novel clubbed triazolyl thiophene series of cdk5/p25 inhibitors were selected to establish 3D-QSAR models using Comparative molecular field analysis (CoMFA) and Comparative molecular similarity indices analysis (CoMSIA) methods. The optimum CoMFA and CoMSIA models obtained, were statistically significant with cross-validated correlation coefficients r²_cv (q²) of 0.539 and 0.558, and conventional correlation coefficients (r²) of 0.980 and 0.967, respectively. A training set containing 88 molecules and a test set containing 24 molecules served to establish the QSAR models. Independent test set validated the external predictive power of both models with predicted correlation coefficients (r²_pred) 0.968 and 0.945 for CoMFA and CoMSIA, respectively. Molecular docking was applied to explore the binding mode between the ligand and the receptor. The information obtained from molecular modeling studies may be helpful to design novel CDK5/P25 inhibitors with desired activity.

Keywords

• 3D-QSAR
• Molecular Docking
• Cdk5/Pp25 Inhibitors
• Triazolyl Thiophene
• Alzheimer Disease