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Perceiving the Concealed and Unreported Pharmacophoric Features of the 5-Hydroxytryptamine Receptor Using Balanced QSAR Analysis

The 5-hydroxytryptamine receptor 6 (5-HT6) has gained attention as a target for developing therapeutics for Alzheimer’s disease, schizophrenia, cognitive dysfunctions, anxiety, and depression, to list a few. In the present analysis, a larger and diverse dataset of 1278 molecules covering a broad che...

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Autores principales: Bukhari, Syed Nasir Abbas, Elsherif, Mervat Abdelaziz, Junaid, Kashaf, Ejaz, Hasan, Alam, Pravej, Samad, Abdul, Jawarkar, Rahul D., Masand, Vijay H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316833/
https://www.ncbi.nlm.nih.gov/pubmed/35890133
http://dx.doi.org/10.3390/ph15070834
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author Bukhari, Syed Nasir Abbas
Elsherif, Mervat Abdelaziz
Junaid, Kashaf
Ejaz, Hasan
Alam, Pravej
Samad, Abdul
Jawarkar, Rahul D.
Masand, Vijay H.
author_facet Bukhari, Syed Nasir Abbas
Elsherif, Mervat Abdelaziz
Junaid, Kashaf
Ejaz, Hasan
Alam, Pravej
Samad, Abdul
Jawarkar, Rahul D.
Masand, Vijay H.
author_sort Bukhari, Syed Nasir Abbas
collection PubMed
description The 5-hydroxytryptamine receptor 6 (5-HT6) has gained attention as a target for developing therapeutics for Alzheimer’s disease, schizophrenia, cognitive dysfunctions, anxiety, and depression, to list a few. In the present analysis, a larger and diverse dataset of 1278 molecules covering a broad chemical and activity space was used to identify visual and concealed structural features associated with binding affinity for 5-HT6. For this, quantitative structure–activity relationships (QSAR) and molecular docking analyses were executed. This led to the development of a statistically robust QSAR model with a balance of excellent predictivity (R(2)(tr) = 0.78, R(2)(ex) = 0.77), the identification of unreported aspects of known features, and also novel mechanistic interpretations. Molecular docking and QSAR provided similar as well as complementary results. The present analysis indicates that the partial charges on ring carbons present within four bonds from a sulfur atom, the occurrence of sp3-hybridized carbon atoms bonded with donor atoms, and a conditional occurrence of lipophilic atoms/groups from nitrogen atoms, which are prominent but unreported pharmacophores that should be considered while optimizing a molecule for 5-HT6. Thus, the present analysis led to identification of some novel unreported structural features that govern the binding affinity of a molecule. The results could be beneficial in optimizing the molecules for 5-HT6.
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spelling pubmed-93168332022-07-27 Perceiving the Concealed and Unreported Pharmacophoric Features of the 5-Hydroxytryptamine Receptor Using Balanced QSAR Analysis Bukhari, Syed Nasir Abbas Elsherif, Mervat Abdelaziz Junaid, Kashaf Ejaz, Hasan Alam, Pravej Samad, Abdul Jawarkar, Rahul D. Masand, Vijay H. Pharmaceuticals (Basel) Article The 5-hydroxytryptamine receptor 6 (5-HT6) has gained attention as a target for developing therapeutics for Alzheimer’s disease, schizophrenia, cognitive dysfunctions, anxiety, and depression, to list a few. In the present analysis, a larger and diverse dataset of 1278 molecules covering a broad chemical and activity space was used to identify visual and concealed structural features associated with binding affinity for 5-HT6. For this, quantitative structure–activity relationships (QSAR) and molecular docking analyses were executed. This led to the development of a statistically robust QSAR model with a balance of excellent predictivity (R(2)(tr) = 0.78, R(2)(ex) = 0.77), the identification of unreported aspects of known features, and also novel mechanistic interpretations. Molecular docking and QSAR provided similar as well as complementary results. The present analysis indicates that the partial charges on ring carbons present within four bonds from a sulfur atom, the occurrence of sp3-hybridized carbon atoms bonded with donor atoms, and a conditional occurrence of lipophilic atoms/groups from nitrogen atoms, which are prominent but unreported pharmacophores that should be considered while optimizing a molecule for 5-HT6. Thus, the present analysis led to identification of some novel unreported structural features that govern the binding affinity of a molecule. The results could be beneficial in optimizing the molecules for 5-HT6. MDPI 2022-07-05 /pmc/articles/PMC9316833/ /pubmed/35890133 http://dx.doi.org/10.3390/ph15070834 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bukhari, Syed Nasir Abbas
Elsherif, Mervat Abdelaziz
Junaid, Kashaf
Ejaz, Hasan
Alam, Pravej
Samad, Abdul
Jawarkar, Rahul D.
Masand, Vijay H.
Perceiving the Concealed and Unreported Pharmacophoric Features of the 5-Hydroxytryptamine Receptor Using Balanced QSAR Analysis
title Perceiving the Concealed and Unreported Pharmacophoric Features of the 5-Hydroxytryptamine Receptor Using Balanced QSAR Analysis
title_full Perceiving the Concealed and Unreported Pharmacophoric Features of the 5-Hydroxytryptamine Receptor Using Balanced QSAR Analysis
title_fullStr Perceiving the Concealed and Unreported Pharmacophoric Features of the 5-Hydroxytryptamine Receptor Using Balanced QSAR Analysis
title_full_unstemmed Perceiving the Concealed and Unreported Pharmacophoric Features of the 5-Hydroxytryptamine Receptor Using Balanced QSAR Analysis
title_short Perceiving the Concealed and Unreported Pharmacophoric Features of the 5-Hydroxytryptamine Receptor Using Balanced QSAR Analysis
title_sort perceiving the concealed and unreported pharmacophoric features of the 5-hydroxytryptamine receptor using balanced qsar analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316833/
https://www.ncbi.nlm.nih.gov/pubmed/35890133
http://dx.doi.org/10.3390/ph15070834
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