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Identification of Novel Dopamine D(2) Receptor Ligands—A Combined In Silico/In Vitro Approach

Diseases of the central nervous system are an alarming global problem showing an increasing prevalence. Dopamine receptor D(2) (D(2)R) has been shown to be involved in central nervous system diseases. While different D(2)R-targeting drugs have been approved by the FDA, they all suffer from major dra...

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Autores principales: Zell, Lukas, Lainer, Constanze, Kollár, Jakub, Temml, Veronika, Schuster, Daniela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318694/
https://www.ncbi.nlm.nih.gov/pubmed/35889317
http://dx.doi.org/10.3390/molecules27144435
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author Zell, Lukas
Lainer, Constanze
Kollár, Jakub
Temml, Veronika
Schuster, Daniela
author_facet Zell, Lukas
Lainer, Constanze
Kollár, Jakub
Temml, Veronika
Schuster, Daniela
author_sort Zell, Lukas
collection PubMed
description Diseases of the central nervous system are an alarming global problem showing an increasing prevalence. Dopamine receptor D(2) (D(2)R) has been shown to be involved in central nervous system diseases. While different D(2)R-targeting drugs have been approved by the FDA, they all suffer from major drawbacks due to promiscuous receptor activity leading to adverse effects. Increasing the number of potential D(2)R-targeting drug candidates bears the possibility of discovering molecules with less severe side-effect profiles. In dire need of novel D(2)R ligands for drug development, combined in silico/in vitro approaches have been shown to be efficient strategies. In this study, in silico pharmacophore models were generated utilizing both ligand- and structure-based approaches. Subsequently, different databases were screened for novel D(2)R ligands. Selected virtual hits were investigated in vitro, quantifying their binding affinity towards D(2)R. This workflow successfully identified six novel D(2)R ligands exerting micro- to nanomolar (most active compound K(I) = 4.1 nM) activities. Thus, the four pharmacophore models showed prospective true-positive hit rates in between 4.5% and 12%. The developed workflow and identified ligands could aid in developing novel drug candidates for D(2)R-associated pathologies.
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spelling pubmed-93186942022-07-27 Identification of Novel Dopamine D(2) Receptor Ligands—A Combined In Silico/In Vitro Approach Zell, Lukas Lainer, Constanze Kollár, Jakub Temml, Veronika Schuster, Daniela Molecules Article Diseases of the central nervous system are an alarming global problem showing an increasing prevalence. Dopamine receptor D(2) (D(2)R) has been shown to be involved in central nervous system diseases. While different D(2)R-targeting drugs have been approved by the FDA, they all suffer from major drawbacks due to promiscuous receptor activity leading to adverse effects. Increasing the number of potential D(2)R-targeting drug candidates bears the possibility of discovering molecules with less severe side-effect profiles. In dire need of novel D(2)R ligands for drug development, combined in silico/in vitro approaches have been shown to be efficient strategies. In this study, in silico pharmacophore models were generated utilizing both ligand- and structure-based approaches. Subsequently, different databases were screened for novel D(2)R ligands. Selected virtual hits were investigated in vitro, quantifying their binding affinity towards D(2)R. This workflow successfully identified six novel D(2)R ligands exerting micro- to nanomolar (most active compound K(I) = 4.1 nM) activities. Thus, the four pharmacophore models showed prospective true-positive hit rates in between 4.5% and 12%. The developed workflow and identified ligands could aid in developing novel drug candidates for D(2)R-associated pathologies. MDPI 2022-07-11 /pmc/articles/PMC9318694/ /pubmed/35889317 http://dx.doi.org/10.3390/molecules27144435 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
Zell, Lukas
Lainer, Constanze
Kollár, Jakub
Temml, Veronika
Schuster, Daniela
Identification of Novel Dopamine D(2) Receptor Ligands—A Combined In Silico/In Vitro Approach
title Identification of Novel Dopamine D(2) Receptor Ligands—A Combined In Silico/In Vitro Approach
title_full Identification of Novel Dopamine D(2) Receptor Ligands—A Combined In Silico/In Vitro Approach
title_fullStr Identification of Novel Dopamine D(2) Receptor Ligands—A Combined In Silico/In Vitro Approach
title_full_unstemmed Identification of Novel Dopamine D(2) Receptor Ligands—A Combined In Silico/In Vitro Approach
title_short Identification of Novel Dopamine D(2) Receptor Ligands—A Combined In Silico/In Vitro Approach
title_sort identification of novel dopamine d(2) receptor ligands—a combined in silico/in vitro approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9318694/
https://www.ncbi.nlm.nih.gov/pubmed/35889317
http://dx.doi.org/10.3390/molecules27144435
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