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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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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
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author Bhargava, Kiran
Seth, Prahlad Kishore
Pant, Kamlesh Kumar
Dixit, Rakesh Kumar
Agarwal, Vivek
Sawlanid, Kamal Kumar
Nath, Rajendra
author_facet Bhargava, Kiran
Seth, Prahlad Kishore
Pant, Kamlesh Kumar
Dixit, Rakesh Kumar
Agarwal, Vivek
Sawlanid, Kamal Kumar
Nath, Rajendra
author_sort Bhargava, Kiran
collection PubMed
description 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.
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spelling pubmed-84570162021-10-06 QSAR modeling and docking analysis of D2 receptor with known olanzapine derivatives Bhargava, Kiran Seth, Prahlad Kishore Pant, Kamlesh Kumar Dixit, Rakesh Kumar Agarwal, Vivek Sawlanid, Kamal Kumar Nath, Rajendra Bioinformation Research Article 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. Biomedical Informatics 2020-09-30 /pmc/articles/PMC8457016/ /pubmed/34621111 http://dx.doi.org/10.6026/97320630016666 Text en © 2020 Biomedical Informatics https://creativecommons.org/licenses/by/3.0/This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
spellingShingle Research Article
Bhargava, Kiran
Seth, Prahlad Kishore
Pant, Kamlesh Kumar
Dixit, Rakesh Kumar
Agarwal, Vivek
Sawlanid, Kamal Kumar
Nath, Rajendra
QSAR modeling and docking analysis of D2 receptor with known olanzapine derivatives
title QSAR modeling and docking analysis of D2 receptor with known olanzapine derivatives
title_full QSAR modeling and docking analysis of D2 receptor with known olanzapine derivatives
title_fullStr QSAR modeling and docking analysis of D2 receptor with known olanzapine derivatives
title_full_unstemmed QSAR modeling and docking analysis of D2 receptor with known olanzapine derivatives
title_short QSAR modeling and docking analysis of D2 receptor with known olanzapine derivatives
title_sort qsar modeling and docking analysis of d2 receptor with known olanzapine derivatives
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8457016/
https://www.ncbi.nlm.nih.gov/pubmed/34621111
http://dx.doi.org/10.6026/97320630016666
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