Cargando…

Multiple 3D-QSAR modeling, e-pharmacophore, molecular docking, and in vitro study to explore novel AChE inhibitors

Ligand-based and energy-optimized structure-based approaches were considered to obtain excellent candidates as AChE inhibitors. The known AChE inhibitors were utilized to develop a pharmacophore hypothesis, HPRRR and X-ray crystallographic structures of AChE were used to produce three e-pharmacophor...

Descripción completa

Detalles Bibliográficos
Autores principales: Jana, Srabanti, Ganeshpurkar, Ankit, Singh, Sushil Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9091215/
https://www.ncbi.nlm.nih.gov/pubmed/35558010
http://dx.doi.org/10.1039/c8ra08198k
_version_ 1784704871197310976
author Jana, Srabanti
Ganeshpurkar, Ankit
Singh, Sushil Kumar
author_facet Jana, Srabanti
Ganeshpurkar, Ankit
Singh, Sushil Kumar
author_sort Jana, Srabanti
collection PubMed
description Ligand-based and energy-optimized structure-based approaches were considered to obtain excellent candidates as AChE inhibitors. The known AChE inhibitors were utilized to develop a pharmacophore hypothesis, HPRRR and X-ray crystallographic structures of AChE were used to produce three e-pharmacophore hypotheses viz. AHHRR, AHRR, and DHRR. Based on in silico approaches, we came across eight structurally diverse hits as non-competitive AChE inhibitors with good ADME properties. The best four hits, ZINC20592007, ZINC05354646, ZINC20649934, and ZINC39154782 were non-toxic, neuroprotective, and were selective AChE inhibitors (IC(50) values 482 ± 1.88 nM, 580 ± 1.63 nM, 854 ± 2.65 nM, and 636 ± 1.79 nM respectively). The hits showed non-competitive inhibition of AChE at PAS site with attractive K(i) values (0.21 ± 0.027 μM, 0.27 ± 0.064 μM, 0.3 ± 0.018 μM, and 0.28 ± 0.032 μM for ZINC20592007, ZINC05354646, ZINC20649934, and ZINC39154782 respectively), and increased the cholinergic activity as well as inhibited Aβ aggregation.
format Online
Article
Text
id pubmed-9091215
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher The Royal Society of Chemistry
record_format MEDLINE/PubMed
spelling pubmed-90912152022-05-11 Multiple 3D-QSAR modeling, e-pharmacophore, molecular docking, and in vitro study to explore novel AChE inhibitors Jana, Srabanti Ganeshpurkar, Ankit Singh, Sushil Kumar RSC Adv Chemistry Ligand-based and energy-optimized structure-based approaches were considered to obtain excellent candidates as AChE inhibitors. The known AChE inhibitors were utilized to develop a pharmacophore hypothesis, HPRRR and X-ray crystallographic structures of AChE were used to produce three e-pharmacophore hypotheses viz. AHHRR, AHRR, and DHRR. Based on in silico approaches, we came across eight structurally diverse hits as non-competitive AChE inhibitors with good ADME properties. The best four hits, ZINC20592007, ZINC05354646, ZINC20649934, and ZINC39154782 were non-toxic, neuroprotective, and were selective AChE inhibitors (IC(50) values 482 ± 1.88 nM, 580 ± 1.63 nM, 854 ± 2.65 nM, and 636 ± 1.79 nM respectively). The hits showed non-competitive inhibition of AChE at PAS site with attractive K(i) values (0.21 ± 0.027 μM, 0.27 ± 0.064 μM, 0.3 ± 0.018 μM, and 0.28 ± 0.032 μM for ZINC20592007, ZINC05354646, ZINC20649934, and ZINC39154782 respectively), and increased the cholinergic activity as well as inhibited Aβ aggregation. The Royal Society of Chemistry 2018-11-26 /pmc/articles/PMC9091215/ /pubmed/35558010 http://dx.doi.org/10.1039/c8ra08198k Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Jana, Srabanti
Ganeshpurkar, Ankit
Singh, Sushil Kumar
Multiple 3D-QSAR modeling, e-pharmacophore, molecular docking, and in vitro study to explore novel AChE inhibitors
title Multiple 3D-QSAR modeling, e-pharmacophore, molecular docking, and in vitro study to explore novel AChE inhibitors
title_full Multiple 3D-QSAR modeling, e-pharmacophore, molecular docking, and in vitro study to explore novel AChE inhibitors
title_fullStr Multiple 3D-QSAR modeling, e-pharmacophore, molecular docking, and in vitro study to explore novel AChE inhibitors
title_full_unstemmed Multiple 3D-QSAR modeling, e-pharmacophore, molecular docking, and in vitro study to explore novel AChE inhibitors
title_short Multiple 3D-QSAR modeling, e-pharmacophore, molecular docking, and in vitro study to explore novel AChE inhibitors
title_sort multiple 3d-qsar modeling, e-pharmacophore, molecular docking, and in vitro study to explore novel ache inhibitors
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9091215/
https://www.ncbi.nlm.nih.gov/pubmed/35558010
http://dx.doi.org/10.1039/c8ra08198k
work_keys_str_mv AT janasrabanti multiple3dqsarmodelingepharmacophoremoleculardockingandinvitrostudytoexplorenovelacheinhibitors
AT ganeshpurkarankit multiple3dqsarmodelingepharmacophoremoleculardockingandinvitrostudytoexplorenovelacheinhibitors
AT singhsushilkumar multiple3dqsarmodelingepharmacophoremoleculardockingandinvitrostudytoexplorenovelacheinhibitors