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: Frimayanti, Neni, Chee, Chin Fei, Zain, Sharifuddin Md, Abd Rahman, Noorsaadah
Format: Article
Published: 2011
Subjects:
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author Frimayanti, Neni
Chee, Chin Fei
Zain, Sharifuddin Md
Abd Rahman, Noorsaadah
author_facet Frimayanti, Neni
Chee, Chin Fei
Zain, Sharifuddin Md
Abd Rahman, Noorsaadah
author_sort Frimayanti, Neni
collection UM
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. © 2011 by the authors; licensee MDPI, Basel, Switzerland.
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spelling um.eprints-60552019-12-23T04:05:03Z http://eprints.um.edu.my/6055/ Design of new competitive dengue Ns2b/Ns3 protease inhibitors-a computational approach Frimayanti, Neni Chee, Chin Fei Zain, Sharifuddin Md Abd Rahman, Noorsaadah QD Chemistry 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. © 2011 by the authors; licensee MDPI, Basel, Switzerland. 2011 Article PeerReviewed Frimayanti, Neni and Chee, Chin Fei and Zain, Sharifuddin Md and Abd Rahman, Noorsaadah (2011) Design of new competitive dengue Ns2b/Ns3 protease inhibitors-a computational approach. International Journal of Molecular Sciences, 12 (2). pp. 1089-1100. ISSN 1422-0067, DOI https://doi.org/10.3390/ijms12021089 <https://doi.org/10.3390/ijms12021089>. https://doi.org/10.3390/ijms12021089 10.3390/ijms12021089
spellingShingle QD Chemistry
Frimayanti, Neni
Chee, Chin Fei
Zain, Sharifuddin Md
Abd Rahman, Noorsaadah
Design of new competitive dengue Ns2b/Ns3 protease inhibitors-a computational approach
title 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_short 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
topic QD Chemistry
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