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QSAR modeling and docking analysis of D2 receptor with known olanzapine derivatives

Dopamine (D2) receptors are known drug targets for various antipsychotics used in Schizophrenia. Therefore, it is of interest to analyze the binding features of D2 receptors with known olanzapine derivatives for further consideration using molecular docking and QSAR analysis. A 2D QSAR model was bui...

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Detalles Bibliográficos
Autores principales: Bhargava, Kiran, Seth, Prahlad Kishore, Pant, Kamlesh Kumar, Dixit, Rakesh Kumar, Agarwal, Vivek, Sawlanid, Kamal Kumar, Nath, Rajendra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8457016/
https://www.ncbi.nlm.nih.gov/pubmed/34621111
http://dx.doi.org/10.6026/97320630016666
Descripción
Sumario:Dopamine (D2) receptors are known drug targets for various antipsychotics used in Schizophrenia. Therefore, it is of interest to analyze the binding features of D2 receptors with known olanzapine derivatives for further consideration using molecular docking and QSAR analysis. A 2D QSAR model was built using energy-based descriptors generated by docking as independent variable and known Ki value of Olanzapine derivatives with D2 Receptor as dependent variable. QSAR model provided coefficient of determination of r2 of 0.7 in multiple linear regression analysis. The predictive performance of QSAR model was assessed using different cross-validation procedures. Thus, data shows that a ligand-receptor binding interaction for D2 Receptor using a QSAR model is promising approach to design novel and potent inhibitors of D2 Receptor.