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A QSAR model of Olanzapine derivatives as potential inhibitors for 5-HT2A Receptor
Schizophrenia is a complex, chronic mental disorder, affecting about 21 million people worldwide. It is characterized by symptoms, including distortions in thinking, perception, emotions, disorganized speech, sense of self and behavior. Recently, a numbers of marketed drugs for Schizophrenia are ava...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680715/ https://www.ncbi.nlm.nih.gov/pubmed/29162966 http://dx.doi.org/10.6026/97320630013339 |
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author | Mitra, Pooja Rastogi, Aishwarya Rajpoot, Mayank Kumar, Ajay Srivastava, Vivek |
author_facet | Mitra, Pooja Rastogi, Aishwarya Rajpoot, Mayank Kumar, Ajay Srivastava, Vivek |
author_sort | Mitra, Pooja |
collection | PubMed |
description | Schizophrenia is a complex, chronic mental disorder, affecting about 21 million people worldwide. It is characterized by symptoms, including distortions in thinking, perception, emotions, disorganized speech, sense of self and behavior. Recently, a numbers of marketed drugs for Schizophrenia are available against dopamine D2 and serotonin 5-HT2A receptors. Here, we docked Olanzapine derivatives (collected from literature) with 5-HT2A Receptor using the program AutoDock 4.2. The docked protein inhibitor complex structure was optimized using molecular dynamics simulation for 5ps with the CHARMM-22 force field using NAMD (NAnoscale Molecular Dynamics program) incorporated in visual molecular dynamics (VMD 1.9.2) and then evaluating the stability of complex structure by calculating RMSD values. NAMD is a parallel, object-oriented molecular dynamics code designed for high-performance simulation of large biomolecular systems. A quantitative structure activity relationship (QSAR) model was built using energy-based descriptors as independent variable and pKi value as dependent variable of eleven known Olanzapine derivatives with 5-HT2A Receptor, yielding correlation coefficient r2 of 0.63861. The predictive performance of QSAR model was assessed using different crossvalidation procedures. Our results suggest that a ligand-receptor binding interaction for 5-HT2A receptor using a QSAR model is promising approach to design more potent 5-HT2A receptor inhibitors prior to their synthesis. |
format | Online Article Text |
id | pubmed-5680715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-56807152017-11-21 A QSAR model of Olanzapine derivatives as potential inhibitors for 5-HT2A Receptor Mitra, Pooja Rastogi, Aishwarya Rajpoot, Mayank Kumar, Ajay Srivastava, Vivek Bioinformation Hypothesis Schizophrenia is a complex, chronic mental disorder, affecting about 21 million people worldwide. It is characterized by symptoms, including distortions in thinking, perception, emotions, disorganized speech, sense of self and behavior. Recently, a numbers of marketed drugs for Schizophrenia are available against dopamine D2 and serotonin 5-HT2A receptors. Here, we docked Olanzapine derivatives (collected from literature) with 5-HT2A Receptor using the program AutoDock 4.2. The docked protein inhibitor complex structure was optimized using molecular dynamics simulation for 5ps with the CHARMM-22 force field using NAMD (NAnoscale Molecular Dynamics program) incorporated in visual molecular dynamics (VMD 1.9.2) and then evaluating the stability of complex structure by calculating RMSD values. NAMD is a parallel, object-oriented molecular dynamics code designed for high-performance simulation of large biomolecular systems. A quantitative structure activity relationship (QSAR) model was built using energy-based descriptors as independent variable and pKi value as dependent variable of eleven known Olanzapine derivatives with 5-HT2A Receptor, yielding correlation coefficient r2 of 0.63861. The predictive performance of QSAR model was assessed using different crossvalidation procedures. Our results suggest that a ligand-receptor binding interaction for 5-HT2A receptor using a QSAR model is promising approach to design more potent 5-HT2A receptor inhibitors prior to their synthesis. Biomedical Informatics 2017-10-31 /pmc/articles/PMC5680715/ /pubmed/29162966 http://dx.doi.org/10.6026/97320630013339 Text en © 2017 Biomedical Informatics http://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 | Hypothesis Mitra, Pooja Rastogi, Aishwarya Rajpoot, Mayank Kumar, Ajay Srivastava, Vivek A QSAR model of Olanzapine derivatives as potential inhibitors for 5-HT2A Receptor |
title | A QSAR model of Olanzapine derivatives as potential inhibitors for 5-HT2A Receptor |
title_full | A QSAR model of Olanzapine derivatives as potential inhibitors for 5-HT2A Receptor |
title_fullStr | A QSAR model of Olanzapine derivatives as potential inhibitors for 5-HT2A Receptor |
title_full_unstemmed | A QSAR model of Olanzapine derivatives as potential inhibitors for 5-HT2A Receptor |
title_short | A QSAR model of Olanzapine derivatives as potential inhibitors for 5-HT2A Receptor |
title_sort | qsar model of olanzapine derivatives as potential inhibitors for 5-ht2a receptor |
topic | Hypothesis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680715/ https://www.ncbi.nlm.nih.gov/pubmed/29162966 http://dx.doi.org/10.6026/97320630013339 |
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