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QSAR Modeling of Histamine H(3)R Antagonists/inverse Agonists as Future Drugs for Neurodegenerative Diseases
BACKGROUND: Histamine H(3) receptor (H(3)R) is associated with several neuropsychological diseases, and thus it is an important target involved in several CNS disorders, such as narcolepsy, attention deficit hyperactivity disorder and schizophrenia. Since QSAR modeling is a feasible approach to expl...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bentham Science Publishers
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6080103/ https://www.ncbi.nlm.nih.gov/pubmed/28820054 http://dx.doi.org/10.2174/1570159X15666170818100644 |
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author | Corrêa, Michelle Fidelis Fernandes, João Paulo dos Santos |
author_facet | Corrêa, Michelle Fidelis Fernandes, João Paulo dos Santos |
author_sort | Corrêa, Michelle Fidelis |
collection | PubMed |
description | BACKGROUND: Histamine H(3) receptor (H(3)R) is associated with several neuropsychological diseases, and thus it is an important target involved in several CNS disorders, such as narcolepsy, attention deficit hyperactivity disorder and schizophrenia. Since QSAR modeling is a feasible approach to explain the role of the molecular substituents in the biological activity, it can help in improving the design of better H(3)R ligands for these conditions. METHODS: This article reviews papers previously published in literature to show the current status of the contribution from QSAR modeling to reach H(3)R antagonists/inverse agonists. RESULTS: Classical and 3D-QSAR models were retrieved, showing that the steric and hydrophobic properties of the H(3)R ligands are most important to reach good affinity. CONCLUSION: Although QSAR methods are valuable to design better H(3)R antagonists/inverse agonists, pharmacokinetics should also be considered in future models to ensure good CNS penetration. |
format | Online Article Text |
id | pubmed-6080103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Bentham Science Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-60801032019-01-01 QSAR Modeling of Histamine H(3)R Antagonists/inverse Agonists as Future Drugs for Neurodegenerative Diseases Corrêa, Michelle Fidelis Fernandes, João Paulo dos Santos Curr Neuropharmacol Article BACKGROUND: Histamine H(3) receptor (H(3)R) is associated with several neuropsychological diseases, and thus it is an important target involved in several CNS disorders, such as narcolepsy, attention deficit hyperactivity disorder and schizophrenia. Since QSAR modeling is a feasible approach to explain the role of the molecular substituents in the biological activity, it can help in improving the design of better H(3)R ligands for these conditions. METHODS: This article reviews papers previously published in literature to show the current status of the contribution from QSAR modeling to reach H(3)R antagonists/inverse agonists. RESULTS: Classical and 3D-QSAR models were retrieved, showing that the steric and hydrophobic properties of the H(3)R ligands are most important to reach good affinity. CONCLUSION: Although QSAR methods are valuable to design better H(3)R antagonists/inverse agonists, pharmacokinetics should also be considered in future models to ensure good CNS penetration. Bentham Science Publishers 2018-07 2018-07 /pmc/articles/PMC6080103/ /pubmed/28820054 http://dx.doi.org/10.2174/1570159X15666170818100644 Text en © 2018 Bentham Science Publishers https://creativecommons.org/licenses/by-nc/4.0/legalcode This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited. |
spellingShingle | Article Corrêa, Michelle Fidelis Fernandes, João Paulo dos Santos QSAR Modeling of Histamine H(3)R Antagonists/inverse Agonists as Future Drugs for Neurodegenerative Diseases |
title | QSAR Modeling of Histamine H(3)R Antagonists/inverse Agonists as Future Drugs for Neurodegenerative Diseases |
title_full | QSAR Modeling of Histamine H(3)R Antagonists/inverse Agonists as Future Drugs for Neurodegenerative Diseases |
title_fullStr | QSAR Modeling of Histamine H(3)R Antagonists/inverse Agonists as Future Drugs for Neurodegenerative Diseases |
title_full_unstemmed | QSAR Modeling of Histamine H(3)R Antagonists/inverse Agonists as Future Drugs for Neurodegenerative Diseases |
title_short | QSAR Modeling of Histamine H(3)R Antagonists/inverse Agonists as Future Drugs for Neurodegenerative Diseases |
title_sort | qsar modeling of histamine h(3)r antagonists/inverse agonists as future drugs for neurodegenerative diseases |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6080103/ https://www.ncbi.nlm.nih.gov/pubmed/28820054 http://dx.doi.org/10.2174/1570159X15666170818100644 |
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