Cargando…
Targeting NMDA receptor in Alzheimer’s disease: identifying novel inhibitors using computational approaches
The glutamate-gated ion channels known as N-methyl-d-aspartate receptors (NMDARs) are important for both normal and pathological brain function. Subunit-selective antagonists have high therapeutic promise since many pathological conditions involve NMDAR over activation, although few clinical success...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319995/ https://www.ncbi.nlm.nih.gov/pubmed/37416066 http://dx.doi.org/10.3389/fphar.2023.1208968 |
_version_ | 1785068354789179392 |
---|---|
author | Siddiqui, Arif Jamal Badraoui, Riadh Jahan, Sadaf Alshahrani, Mohammed Merae Siddiqui, Maqsood Ahmed Khan, Andleeb Adnan, Mohd |
author_facet | Siddiqui, Arif Jamal Badraoui, Riadh Jahan, Sadaf Alshahrani, Mohammed Merae Siddiqui, Maqsood Ahmed Khan, Andleeb Adnan, Mohd |
author_sort | Siddiqui, Arif Jamal |
collection | PubMed |
description | The glutamate-gated ion channels known as N-methyl-d-aspartate receptors (NMDARs) are important for both normal and pathological brain function. Subunit-selective antagonists have high therapeutic promise since many pathological conditions involve NMDAR over activation, although few clinical successes have been reported. Allosteric inhibitors of GluN2B-containing receptors are among the most potential NMDAR targeting drugs. Since the discovery of ifenprodil, a variety of GluN2B-selective compounds have been discovered, each with remarkably unique structural motifs. These results expand the allosteric and pharmacolog-ical spectrum of NMDARs and provide a new structural basis for the development of next-generation GluN2B antagonists that have therapeutic potential in brain diseases. Small molecule therapeutic inhibitors targeting NMDA have recently been developed to target CNS disorders such as Alzheimer’s disease. In the current study, a cheminformatics method was used to discover potential antagonists and to identify the structural requirements for Gly/NMDA antagonism. In this case we have created a useful pharmacophore model with solid statistical values. Through pharmacophore mapping, the verified model was used to filter out virtual matches from the ZINC database. Assessing receptor-ligand binding mechanisms and affinities used molecular docking. To find the best hits, the GlideScore and the interaction of molecules with important amino acids were considered essential features. We found some molecular inhibitors, namely, ZINC13729211, ZINC07430424, ZINC08614951, ZINC60927204, ZINC12447511, and ZINC18889258 with high binding affinity using computational methods. The molecules in our studies showed characteristics such as good stability, hydrogen bonding and higher binding affinities in the solvation-based assessment method than ifenprodil with acceptable ADMET profile. Moreover, these six leads have been proposed as potential new perspectives for exploring potent Gly/NMDA receptor antagonists. In addition, it can be tested in the laboratory for potential therapeutic strategies for both in vitro and in vivo research. |
format | Online Article Text |
id | pubmed-10319995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103199952023-07-06 Targeting NMDA receptor in Alzheimer’s disease: identifying novel inhibitors using computational approaches Siddiqui, Arif Jamal Badraoui, Riadh Jahan, Sadaf Alshahrani, Mohammed Merae Siddiqui, Maqsood Ahmed Khan, Andleeb Adnan, Mohd Front Pharmacol Pharmacology The glutamate-gated ion channels known as N-methyl-d-aspartate receptors (NMDARs) are important for both normal and pathological brain function. Subunit-selective antagonists have high therapeutic promise since many pathological conditions involve NMDAR over activation, although few clinical successes have been reported. Allosteric inhibitors of GluN2B-containing receptors are among the most potential NMDAR targeting drugs. Since the discovery of ifenprodil, a variety of GluN2B-selective compounds have been discovered, each with remarkably unique structural motifs. These results expand the allosteric and pharmacolog-ical spectrum of NMDARs and provide a new structural basis for the development of next-generation GluN2B antagonists that have therapeutic potential in brain diseases. Small molecule therapeutic inhibitors targeting NMDA have recently been developed to target CNS disorders such as Alzheimer’s disease. In the current study, a cheminformatics method was used to discover potential antagonists and to identify the structural requirements for Gly/NMDA antagonism. In this case we have created a useful pharmacophore model with solid statistical values. Through pharmacophore mapping, the verified model was used to filter out virtual matches from the ZINC database. Assessing receptor-ligand binding mechanisms and affinities used molecular docking. To find the best hits, the GlideScore and the interaction of molecules with important amino acids were considered essential features. We found some molecular inhibitors, namely, ZINC13729211, ZINC07430424, ZINC08614951, ZINC60927204, ZINC12447511, and ZINC18889258 with high binding affinity using computational methods. The molecules in our studies showed characteristics such as good stability, hydrogen bonding and higher binding affinities in the solvation-based assessment method than ifenprodil with acceptable ADMET profile. Moreover, these six leads have been proposed as potential new perspectives for exploring potent Gly/NMDA receptor antagonists. In addition, it can be tested in the laboratory for potential therapeutic strategies for both in vitro and in vivo research. Frontiers Media S.A. 2023-06-21 /pmc/articles/PMC10319995/ /pubmed/37416066 http://dx.doi.org/10.3389/fphar.2023.1208968 Text en Copyright © 2023 Siddiqui, Badraoui, Jahan, Alshahrani, Siddiqui, Khan and Adnan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pharmacology Siddiqui, Arif Jamal Badraoui, Riadh Jahan, Sadaf Alshahrani, Mohammed Merae Siddiqui, Maqsood Ahmed Khan, Andleeb Adnan, Mohd Targeting NMDA receptor in Alzheimer’s disease: identifying novel inhibitors using computational approaches |
title | Targeting NMDA receptor in Alzheimer’s disease: identifying novel inhibitors using computational approaches |
title_full | Targeting NMDA receptor in Alzheimer’s disease: identifying novel inhibitors using computational approaches |
title_fullStr | Targeting NMDA receptor in Alzheimer’s disease: identifying novel inhibitors using computational approaches |
title_full_unstemmed | Targeting NMDA receptor in Alzheimer’s disease: identifying novel inhibitors using computational approaches |
title_short | Targeting NMDA receptor in Alzheimer’s disease: identifying novel inhibitors using computational approaches |
title_sort | targeting nmda receptor in alzheimer’s disease: identifying novel inhibitors using computational approaches |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319995/ https://www.ncbi.nlm.nih.gov/pubmed/37416066 http://dx.doi.org/10.3389/fphar.2023.1208968 |
work_keys_str_mv | AT siddiquiarifjamal targetingnmdareceptorinalzheimersdiseaseidentifyingnovelinhibitorsusingcomputationalapproaches AT badraouiriadh targetingnmdareceptorinalzheimersdiseaseidentifyingnovelinhibitorsusingcomputationalapproaches AT jahansadaf targetingnmdareceptorinalzheimersdiseaseidentifyingnovelinhibitorsusingcomputationalapproaches AT alshahranimohammedmerae targetingnmdareceptorinalzheimersdiseaseidentifyingnovelinhibitorsusingcomputationalapproaches AT siddiquimaqsoodahmed targetingnmdareceptorinalzheimersdiseaseidentifyingnovelinhibitorsusingcomputationalapproaches AT khanandleeb targetingnmdareceptorinalzheimersdiseaseidentifyingnovelinhibitorsusingcomputationalapproaches AT adnanmohd targetingnmdareceptorinalzheimersdiseaseidentifyingnovelinhibitorsusingcomputationalapproaches |