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Computational approaches for the design of novel dopamine D(2) and serotonin 5-HT(2A) receptor dual antagonist towards schizophrenia

Piperidine and piperazine derivatives exhibit a diverse range of biological applications, including antipsychotic activity. In this study, a dataset of molecules containing piperidine, piperazine moieties that possess serotonin 5-HT(2A) and dopamine D(2) inhibitory activity have been chosen for Phar...

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Autores principales: Rathore, Akash, Asati, Vivek, Mishra, Mitali, Das, Ratnesh, Kashaw, Varsha, Kashaw, Sushil Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990614/
https://www.ncbi.nlm.nih.gov/pubmed/35433192
http://dx.doi.org/10.1007/s40203-022-00121-5
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author Rathore, Akash
Asati, Vivek
Mishra, Mitali
Das, Ratnesh
Kashaw, Varsha
Kashaw, Sushil Kumar
author_facet Rathore, Akash
Asati, Vivek
Mishra, Mitali
Das, Ratnesh
Kashaw, Varsha
Kashaw, Sushil Kumar
author_sort Rathore, Akash
collection PubMed
description Piperidine and piperazine derivatives exhibit a diverse range of biological applications, including antipsychotic activity. In this study, a dataset of molecules containing piperidine, piperazine moieties that possess serotonin 5-HT(2A) and dopamine D(2) inhibitory activity have been chosen for Pharmacophore modeling, Quantitative Structure–Activity (3D-QSAR) Relationship, Molecular docking, and ADME studies. The pharmacophoric hypothesis was found to be AAHPRRR_1 having seven features as one H-bond acceptor (A), one hydrophobic (H), one positive ion acceptor (P), and three aromatic rings (R), with survival score = 6.465 and AUC = 0.92. Based on the best hypothesis, the ZINC-Data base was virtually screened to find out the lead molecules. 3D-QSAR model, including internal and external validation showed comparative molecular field analysis (CoMFA) against 5HT(2A) (q(2) = 0.552, R(2) = 0.889, and r(2) poured. = 0.653 and number of component 5) and comparative molecular similarity indices analysis (CoMSIA) (q(2) = 0.599, R(2) = 0.893, and r(2) pred. = 0.617), for D(2) (CoMFA, q(2) = 0.577, R(2) = 0.863, and r(2) pred. = 0.598) (CoMSIA, q(2) = 0.532, R(2) = 0.82) all results exhibited better productivity and significant statistical reliability of the model. The docking study was carried out on the crystal structure of 5-HT(2A) having PDB ID; 6A93 and D(2) receptor having PDB ID; 6CM4. The screened compound ZINC74289318 possess a higher docking score − 10.744 and − 11.388 than co-crystallized ligand docking score − 8.840 and − 10.06 against 5-HT(2A) and D(2) receptor respectively. Further, ZINC74289318 was screened for all drug-likeness parameters and no showed violation of the Lipinski rule of five. Also, it was found to possess good bioavailability of 0.55 with synthetic accessibility of 4.42 which is greater than risperidone.
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spelling pubmed-89906142022-04-11 Computational approaches for the design of novel dopamine D(2) and serotonin 5-HT(2A) receptor dual antagonist towards schizophrenia Rathore, Akash Asati, Vivek Mishra, Mitali Das, Ratnesh Kashaw, Varsha Kashaw, Sushil Kumar In Silico Pharmacol Original Research Piperidine and piperazine derivatives exhibit a diverse range of biological applications, including antipsychotic activity. In this study, a dataset of molecules containing piperidine, piperazine moieties that possess serotonin 5-HT(2A) and dopamine D(2) inhibitory activity have been chosen for Pharmacophore modeling, Quantitative Structure–Activity (3D-QSAR) Relationship, Molecular docking, and ADME studies. The pharmacophoric hypothesis was found to be AAHPRRR_1 having seven features as one H-bond acceptor (A), one hydrophobic (H), one positive ion acceptor (P), and three aromatic rings (R), with survival score = 6.465 and AUC = 0.92. Based on the best hypothesis, the ZINC-Data base was virtually screened to find out the lead molecules. 3D-QSAR model, including internal and external validation showed comparative molecular field analysis (CoMFA) against 5HT(2A) (q(2) = 0.552, R(2) = 0.889, and r(2) poured. = 0.653 and number of component 5) and comparative molecular similarity indices analysis (CoMSIA) (q(2) = 0.599, R(2) = 0.893, and r(2) pred. = 0.617), for D(2) (CoMFA, q(2) = 0.577, R(2) = 0.863, and r(2) pred. = 0.598) (CoMSIA, q(2) = 0.532, R(2) = 0.82) all results exhibited better productivity and significant statistical reliability of the model. The docking study was carried out on the crystal structure of 5-HT(2A) having PDB ID; 6A93 and D(2) receptor having PDB ID; 6CM4. The screened compound ZINC74289318 possess a higher docking score − 10.744 and − 11.388 than co-crystallized ligand docking score − 8.840 and − 10.06 against 5-HT(2A) and D(2) receptor respectively. Further, ZINC74289318 was screened for all drug-likeness parameters and no showed violation of the Lipinski rule of five. Also, it was found to possess good bioavailability of 0.55 with synthetic accessibility of 4.42 which is greater than risperidone. Springer Berlin Heidelberg 2022-04-08 /pmc/articles/PMC8990614/ /pubmed/35433192 http://dx.doi.org/10.1007/s40203-022-00121-5 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022
spellingShingle Original Research
Rathore, Akash
Asati, Vivek
Mishra, Mitali
Das, Ratnesh
Kashaw, Varsha
Kashaw, Sushil Kumar
Computational approaches for the design of novel dopamine D(2) and serotonin 5-HT(2A) receptor dual antagonist towards schizophrenia
title Computational approaches for the design of novel dopamine D(2) and serotonin 5-HT(2A) receptor dual antagonist towards schizophrenia
title_full Computational approaches for the design of novel dopamine D(2) and serotonin 5-HT(2A) receptor dual antagonist towards schizophrenia
title_fullStr Computational approaches for the design of novel dopamine D(2) and serotonin 5-HT(2A) receptor dual antagonist towards schizophrenia
title_full_unstemmed Computational approaches for the design of novel dopamine D(2) and serotonin 5-HT(2A) receptor dual antagonist towards schizophrenia
title_short Computational approaches for the design of novel dopamine D(2) and serotonin 5-HT(2A) receptor dual antagonist towards schizophrenia
title_sort computational approaches for the design of novel dopamine d(2) and serotonin 5-ht(2a) receptor dual antagonist towards schizophrenia
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990614/
https://www.ncbi.nlm.nih.gov/pubmed/35433192
http://dx.doi.org/10.1007/s40203-022-00121-5
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