Hierarchical And Fragment Based Virtual Screening Approaches In The Discovery Of Potent Acetylcholinesterase Inhibitor

Molecular modelling has been proved to accelerate and guide drug design by providing an understanding about biomolecular system at the atomic level. A molecular modelling application involving two virtual screening methods to facilitate the drug design for finding Acetylcholinesterase (AChE) inhibit...

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Main Author: Muhammad, Erma Fatiha
Format: Thesis
Language:English
Published: 2022
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Online Access:http://eprints.usm.my/59687/1/24%20Pages%20from%20ERMA%20FATIHA%20BINTI%20MUHAMMAD%20-%20TESIS.pdf
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spelling my-usm-ep.596872023-12-15T02:14:23Z Hierarchical And Fragment Based Virtual Screening Approaches In The Discovery Of Potent Acetylcholinesterase Inhibitor 2022-08 Muhammad, Erma Fatiha RS1-441 Pharmacy and materia medica Molecular modelling has been proved to accelerate and guide drug design by providing an understanding about biomolecular system at the atomic level. A molecular modelling application involving two virtual screening methods to facilitate the drug design for finding Acetylcholinesterase (AChE) inhibitors was carried out in this study. There are two virtual screening methods were presented in this study which are the hierarchircal and fragment based virtual screening. Hierarchircal virtual screening (HVS) method involved a shape similarity screening that combined with molecular docking calculation and visual inspection allowed the identification of 1, 2, 4-triazolylthioethanone as a novel class of AChE inhibitors. In the first step of HVS, shape similarity screening was used to find compounds that having similar shape to donepezil. About 920 shortlisted compounds was discovered of having similar shape as donepezil according on “ShapeTanimoto” scores. In the next step, molecular docking was performed and resulted about 73 shortlisted compounds which having the docking and ΔMM/GBSA energies values ranging from -13.35 to -5.35 kcal/mol and - 30.72 to -86.26 kcal/mol, respectively. Further, all shortlisted compounds were visually inspected based on their shape and binding interactions with AChE binding pocket. 2022-08 Thesis http://eprints.usm.my/59687/ http://eprints.usm.my/59687/1/24%20Pages%20from%20ERMA%20FATIHA%20BINTI%20MUHAMMAD%20-%20TESIS.pdf application/pdf en public phd doctoral Perpustakaan Hamzah Sendut Pusat Pengajian Sains Farmasi
institution Universiti Sains Malaysia
collection USM Institutional Repository
language English
topic RS1-441 Pharmacy and materia medica
spellingShingle RS1-441 Pharmacy and materia medica
Muhammad, Erma Fatiha
Hierarchical And Fragment Based Virtual Screening Approaches In The Discovery Of Potent Acetylcholinesterase Inhibitor
description Molecular modelling has been proved to accelerate and guide drug design by providing an understanding about biomolecular system at the atomic level. A molecular modelling application involving two virtual screening methods to facilitate the drug design for finding Acetylcholinesterase (AChE) inhibitors was carried out in this study. There are two virtual screening methods were presented in this study which are the hierarchircal and fragment based virtual screening. Hierarchircal virtual screening (HVS) method involved a shape similarity screening that combined with molecular docking calculation and visual inspection allowed the identification of 1, 2, 4-triazolylthioethanone as a novel class of AChE inhibitors. In the first step of HVS, shape similarity screening was used to find compounds that having similar shape to donepezil. About 920 shortlisted compounds was discovered of having similar shape as donepezil according on “ShapeTanimoto” scores. In the next step, molecular docking was performed and resulted about 73 shortlisted compounds which having the docking and ΔMM/GBSA energies values ranging from -13.35 to -5.35 kcal/mol and - 30.72 to -86.26 kcal/mol, respectively. Further, all shortlisted compounds were visually inspected based on their shape and binding interactions with AChE binding pocket.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Muhammad, Erma Fatiha
author_facet Muhammad, Erma Fatiha
author_sort Muhammad, Erma Fatiha
title Hierarchical And Fragment Based Virtual Screening Approaches In The Discovery Of Potent Acetylcholinesterase Inhibitor
title_short Hierarchical And Fragment Based Virtual Screening Approaches In The Discovery Of Potent Acetylcholinesterase Inhibitor
title_full Hierarchical And Fragment Based Virtual Screening Approaches In The Discovery Of Potent Acetylcholinesterase Inhibitor
title_fullStr Hierarchical And Fragment Based Virtual Screening Approaches In The Discovery Of Potent Acetylcholinesterase Inhibitor
title_full_unstemmed Hierarchical And Fragment Based Virtual Screening Approaches In The Discovery Of Potent Acetylcholinesterase Inhibitor
title_sort hierarchical and fragment based virtual screening approaches in the discovery of potent acetylcholinesterase inhibitor
granting_institution Perpustakaan Hamzah Sendut
granting_department Pusat Pengajian Sains Farmasi
publishDate 2022
url http://eprints.usm.my/59687/1/24%20Pages%20from%20ERMA%20FATIHA%20BINTI%20MUHAMMAD%20-%20TESIS.pdf
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