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Pharmacophore and docking-based sequential virtual screening for the identification of novel Sigma 1 receptor ligands

Sigma 1 receptor (σ1), a small transmembrane protein expressed in most human cells participates in modulating the function of other membrane proteins such as G protein coupled receptors and ion channels. Several ligands targeting this receptor are currently in clinical trials for the treatment of Al...

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Autores principales: Alamri, Mubarak A, Alamri, Mohammed A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822515/
https://www.ncbi.nlm.nih.gov/pubmed/31719769
http://dx.doi.org/10.6026/97320630015586
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author Alamri, Mubarak A
Alamri, Mohammed A
author_facet Alamri, Mubarak A
Alamri, Mohammed A
author_sort Alamri, Mubarak A
collection PubMed
description Sigma 1 receptor (σ1), a small transmembrane protein expressed in most human cells participates in modulating the function of other membrane proteins such as G protein coupled receptors and ion channels. Several ligands targeting this receptor are currently in clinical trials for the treatment of Alzheimer's disease, ischemic stroke and neuro-pathic pain. Hence, this receptor has emerged as an attractive target for the treatment of neuro-pathological diseases with unmet medical needs. It is of interest to identify and characterise novelσ1 receptor ligands with different chemical scaffolds using computer-aided drug designing approach. In this work, a GPCR-focused chemical library consisting of 8543 compounds was screened by pharmacophore and docking-based virtual screening methods using LigandScout 4.3 and Autodock Vina 1.1.2 in PyRx 0.8, respectively. The pharmacophore model was constructed based on the interactions of a selective agonist and another antagonist ligand with high binding affinity to the human σ1receptors. Candidate compounds were filtered sequentially by pharmacophore-fit scores, docking energy scores, drug-likeness filters and ADMET properties. The binding mode and pharmacophore mapping of candidate compounds were analysed by Autodock Vina 1.1.2 and LigandScout 4.3 programs, respectively. A pharmacophore model composed of three hydrophobic and positive ionizable features with recognized geometry was built and used as a 3D query for screening a GPCR-focused chemical library by LigandScout 4.3 program. Among the screened 8543 compounds, 159 candidate compounds were obtained from pharmacophore-based screening. 45 compounds among them bound to σ 1receptor with high binding-affinity scores in comparison to the co-crystallized ligand. Amongst these, top five candidate compounds with excellent druglikeness and ADMET properties were selected. These five candidate compounds may act as potential σ1 receptor ligands.
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spelling pubmed-68225152019-11-12 Pharmacophore and docking-based sequential virtual screening for the identification of novel Sigma 1 receptor ligands Alamri, Mubarak A Alamri, Mohammed A Bioinformation Research Article Sigma 1 receptor (σ1), a small transmembrane protein expressed in most human cells participates in modulating the function of other membrane proteins such as G protein coupled receptors and ion channels. Several ligands targeting this receptor are currently in clinical trials for the treatment of Alzheimer's disease, ischemic stroke and neuro-pathic pain. Hence, this receptor has emerged as an attractive target for the treatment of neuro-pathological diseases with unmet medical needs. It is of interest to identify and characterise novelσ1 receptor ligands with different chemical scaffolds using computer-aided drug designing approach. In this work, a GPCR-focused chemical library consisting of 8543 compounds was screened by pharmacophore and docking-based virtual screening methods using LigandScout 4.3 and Autodock Vina 1.1.2 in PyRx 0.8, respectively. The pharmacophore model was constructed based on the interactions of a selective agonist and another antagonist ligand with high binding affinity to the human σ1receptors. Candidate compounds were filtered sequentially by pharmacophore-fit scores, docking energy scores, drug-likeness filters and ADMET properties. The binding mode and pharmacophore mapping of candidate compounds were analysed by Autodock Vina 1.1.2 and LigandScout 4.3 programs, respectively. A pharmacophore model composed of three hydrophobic and positive ionizable features with recognized geometry was built and used as a 3D query for screening a GPCR-focused chemical library by LigandScout 4.3 program. Among the screened 8543 compounds, 159 candidate compounds were obtained from pharmacophore-based screening. 45 compounds among them bound to σ 1receptor with high binding-affinity scores in comparison to the co-crystallized ligand. Amongst these, top five candidate compounds with excellent druglikeness and ADMET properties were selected. These five candidate compounds may act as potential σ1 receptor ligands. Biomedical Informatics 2019-09-10 /pmc/articles/PMC6822515/ /pubmed/31719769 http://dx.doi.org/10.6026/97320630015586 Text en © 2019 Biomedical Informatics http://creativecommons.org/licenses/by/3.0/ This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
spellingShingle Research Article
Alamri, Mubarak A
Alamri, Mohammed A
Pharmacophore and docking-based sequential virtual screening for the identification of novel Sigma 1 receptor ligands
title Pharmacophore and docking-based sequential virtual screening for the identification of novel Sigma 1 receptor ligands
title_full Pharmacophore and docking-based sequential virtual screening for the identification of novel Sigma 1 receptor ligands
title_fullStr Pharmacophore and docking-based sequential virtual screening for the identification of novel Sigma 1 receptor ligands
title_full_unstemmed Pharmacophore and docking-based sequential virtual screening for the identification of novel Sigma 1 receptor ligands
title_short Pharmacophore and docking-based sequential virtual screening for the identification of novel Sigma 1 receptor ligands
title_sort pharmacophore and docking-based sequential virtual screening for the identification of novel sigma 1 receptor ligands
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822515/
https://www.ncbi.nlm.nih.gov/pubmed/31719769
http://dx.doi.org/10.6026/97320630015586
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