Design of New Competitive Dengue Ns2b/Ns3 Protease Inhibitors—A Computational Approach

Dengue is a serious disease which has become a global health burden in the last decade. Currently, there are no approved vaccines or antiviral therapies to combat the disease. The increasing spread and severity of the dengue virus infection emphasizes the importance of drug discovery strategies that...

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Main Authors: Noorsaadah Abd. Rahman, Sharifuddin M. Zain, Chin Fei Chee, Neni Frimayanti
Format: Article
Language:English
Published: MDPI AG 2011-02-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:http://www.mdpi.com/1422-0067/12/2/1089/
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spelling doaj-5e060cb8de644884909fc307e89fd20c2020-11-24T23:28:19ZengMDPI AGInternational Journal of Molecular Sciences1422-00672011-02-011221089110010.3390/ijms12021089Design of New Competitive Dengue Ns2b/Ns3 Protease Inhibitors—A Computational ApproachNoorsaadah Abd. RahmanSharifuddin M. ZainChin Fei CheeNeni FrimayantiDengue is a serious disease which has become a global health burden in the last decade. Currently, there are no approved vaccines or antiviral therapies to combat the disease. The increasing spread and severity of the dengue virus infection emphasizes the importance of drug discovery strategies that could efficiently and cost-effectively identify antiviral drug leads for development into potent drugs. To this effect, several computational approaches were applied in this work. Initially molecular docking studies of reference ligands to the DEN2 NS2B/NS3 serine protease were carried out. These reference ligands consist of reported competitive inhibitors extracted from Boesenbergia rotunda (i.e., 4-hydroxypanduratin A and panduratin A) and three other synthesized panduratin A derivative compounds (i.e., 246DA, 2446DA and 20H46DA). The design of new lead inhibitors was carried out in two stages. In the first stage, the enzyme complexed to the reference ligands was minimized and their complexation energies (i.e., sum of interaction energy and binding energy) were computed. New compounds as potential dengue inhibitors were then designed by putting various substituents successively on the benzyl ring A of the reference molecule. These substituted benzyl compounds were then computed for their enzyme-ligand complexation energies. New enzyme-ligand complexes, exhibiting the lowest complexation energies and closest to the computed energy for the reference compounds, were then chosen for the next stage manipulation and design, which involved substituting positions 4 and 5 of the benzyl ring A (positions 3 and 4 for 2446DA) with various substituents. http://www.mdpi.com/1422-0067/12/2/1089/dengue NS2B/NS3 proteasemolecular dockinginteraction energybinding energycomplexation energy
collection DOAJ
language English
format Article
sources DOAJ
author Noorsaadah Abd. Rahman
Sharifuddin M. Zain
Chin Fei Chee
Neni Frimayanti
spellingShingle Noorsaadah Abd. Rahman
Sharifuddin M. Zain
Chin Fei Chee
Neni Frimayanti
Design of New Competitive Dengue Ns2b/Ns3 Protease Inhibitors—A Computational Approach
International Journal of Molecular Sciences
dengue NS2B/NS3 protease
molecular docking
interaction energy
binding energy
complexation energy
author_facet Noorsaadah Abd. Rahman
Sharifuddin M. Zain
Chin Fei Chee
Neni Frimayanti
author_sort Noorsaadah Abd. Rahman
title Design of New Competitive Dengue Ns2b/Ns3 Protease Inhibitors—A Computational Approach
title_short Design of New Competitive Dengue Ns2b/Ns3 Protease Inhibitors—A Computational Approach
title_full Design of New Competitive Dengue Ns2b/Ns3 Protease Inhibitors—A Computational Approach
title_fullStr Design of New Competitive Dengue Ns2b/Ns3 Protease Inhibitors—A Computational Approach
title_full_unstemmed Design of New Competitive Dengue Ns2b/Ns3 Protease Inhibitors—A Computational Approach
title_sort design of new competitive dengue ns2b/ns3 protease inhibitors—a computational approach
publisher MDPI AG
series International Journal of Molecular Sciences
issn 1422-0067
publishDate 2011-02-01
description Dengue is a serious disease which has become a global health burden in the last decade. Currently, there are no approved vaccines or antiviral therapies to combat the disease. The increasing spread and severity of the dengue virus infection emphasizes the importance of drug discovery strategies that could efficiently and cost-effectively identify antiviral drug leads for development into potent drugs. To this effect, several computational approaches were applied in this work. Initially molecular docking studies of reference ligands to the DEN2 NS2B/NS3 serine protease were carried out. These reference ligands consist of reported competitive inhibitors extracted from Boesenbergia rotunda (i.e., 4-hydroxypanduratin A and panduratin A) and three other synthesized panduratin A derivative compounds (i.e., 246DA, 2446DA and 20H46DA). The design of new lead inhibitors was carried out in two stages. In the first stage, the enzyme complexed to the reference ligands was minimized and their complexation energies (i.e., sum of interaction energy and binding energy) were computed. New compounds as potential dengue inhibitors were then designed by putting various substituents successively on the benzyl ring A of the reference molecule. These substituted benzyl compounds were then computed for their enzyme-ligand complexation energies. New enzyme-ligand complexes, exhibiting the lowest complexation energies and closest to the computed energy for the reference compounds, were then chosen for the next stage manipulation and design, which involved substituting positions 4 and 5 of the benzyl ring A (positions 3 and 4 for 2446DA) with various substituents.
topic dengue NS2B/NS3 protease
molecular docking
interaction energy
binding energy
complexation energy
url http://www.mdpi.com/1422-0067/12/2/1089/
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