Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1784570990988099584 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8457016 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT bhargavakiran qsarmodelinganddockinganalysisofd2receptorwithknownolanzapinederivatives AT sethprahladkishore qsarmodelinganddockinganalysisofd2receptorwithknownolanzapinederivatives AT pantkamleshkumar qsarmodelinganddockinganalysisofd2receptorwithknownolanzapinederivatives AT dixitrakeshkumar qsarmodelinganddockinganalysisofd2receptorwithknownolanzapinederivatives AT agarwalvivek qsarmodelinganddockinganalysisofd2receptorwithknownolanzapinederivatives AT sawlanidkamalkumar qsarmodelinganddockinganalysisofd2receptorwithknownolanzapinederivatives AT nathrajendra qsarmodelinganddockinganalysisofd2receptorwithknownolanzapinederivatives |