QSAR Modeling of Histamine H3R Antagonists/inverse Agonists as Future Drugs for Neurodegenerative Diseases

Title:QSAR Modeling of Histamine H3R Antagonists/inverse Agonists as Future Drugs for Neurodegenerative Diseases

Volume: 16 Issue: 6

Author(s): Michelle Fidelis Correa*Joao Paulo dos Santos Fernandes*

Affiliation:

• Departamento de Ciencias Farmaceuticas, Universidade Federal de Sao Paulo, Rua Sao Nicolau 210, Centro 09913- 030, Diadema-SP,Brazil

• Departamento de Ciencias Farmaceuticas, Universidade Federal de Sao Paulo, Rua Sao Nicolau 210, Centro 09913- 030, Diadema-SP,Brazil

Keywords: QSAR, H3 receptor, H3R antagonists, H3R inverse agonists, neurodegenerative diseases, neuropsychiatric disorders, structure-activity relationship.

Abstract: Background: Histamine H3 receptor (H3R) 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 H3R 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 H3R antagonists/inverse agonists.

Results: Classical and 3D-QSAR models were retrieved, showing that the steric and hydrophobic properties of the H3R ligands are most important to reach good affinity.

Conclusion: Although QSAR methods are valuable to design better H3R antagonists/inverse agonists, pharmacokinetics should also be considered in future models to ensure good CNS penetration.

Cite this article as:

Correa Fidelis Michelle *, dos Santos Fernandes Paulo Joao *, QSAR Modeling of Histamine H3R Antagonists/inverse Agonists as Future Drugs for Neurodegenerative Diseases, Current Neuropharmacology 2018; 16 (6) . https://dx.doi.org/10.2174/1570159X15666170818100644