Virtual screening-based identification of Potent DENV-3 RdRp protease inhibitors via in-house usnic acid derivative database

Dengue virus (DENV) is the causative agent of dengue fever, dengue hemorrhagic disease and dengue shock syndrome (DSS), transmitted predominantly in tropical and subtropical regions by Aedes aegypti. It infects millions of people and causes thousands of deaths each year, but there is no antiviral dr...

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Main Authors: Roney, Miah, Huq, AKM Moyeenul, Rullah, Kamal, Hazrulrizawati, Hamid, Syahrul, Imran, Islam, Md. Alimul, Mohd Fadhlizil Fasihi, Mohd Aluwi
Format: Article
Language:English
Published: World Scientific Publishing Co Pte Ltd 2021
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Online Access:http://umpir.ump.edu.my/id/eprint/33142/1/Virtual%20screening-based%20identification.pdf
http://umpir.ump.edu.my/id/eprint/33142/
https://doi.org/10.1142/S2737416521500496
https://doi.org/10.1142/S2737416521500496
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Institution: Universiti Malaysia Pahang
Language: English
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spelling my.ump.umpir.331422022-01-11T03:22:41Z http://umpir.ump.edu.my/id/eprint/33142/ Virtual screening-based identification of Potent DENV-3 RdRp protease inhibitors via in-house usnic acid derivative database Roney, Miah Huq, AKM Moyeenul Rullah, Kamal Hazrulrizawati, Hamid Syahrul, Imran Islam, Md. Alimul Mohd Fadhlizil Fasihi, Mohd Aluwi QD Chemistry TP Chemical technology Dengue virus (DENV) is the causative agent of dengue fever, dengue hemorrhagic disease and dengue shock syndrome (DSS), transmitted predominantly in tropical and subtropical regions by Aedes aegypti. It infects millions of people and causes thousands of deaths each year, but there is no antiviral drug against DENV. Usnic acid lately piqued the interest of researchers for extraordinary biological characteristics, including antiviral activity. Based on high larvicidal activities against Aedes aegypti, this study aims to search usnic acid derivatives as novel anti-DENV agents through a combination of ligand-based and pharmacophore-based virtual screening. One hundred and sixteen (116) usnic acid derivatives were obtained from a database of 428 in-house usnic acid derivatives through pharmacophore filtering steps. Subsequent docking simulation on DENV-3 NS-5 RdRp afforded 41 compounds with a strong binding affinity towards the enzyme. The pharmacokinetics and drug likeness prediction resulted in seven hit compounds, which eventually undergo cytochrome P450 enzyme screening to obtain the lead compound, labelled as 362. In addition, molecular dynamic (MD) simulation of lead compound 362 was performed to verify the stability of the docked complex and the binding posture acquired in docking experiments. Overall, the lead compounds have shown a high fit value of pharmacophore, strong binding affinity towards RdRp enzyme, good pharmacokinetics, and drug likeness properties. The discovery of a new usnic acid derivative as a novel anti-DENV agent targeting RdRp could lead to further drug development and optimization to treat dengue. World Scientific Publishing Co Pte Ltd 2021 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/33142/1/Virtual%20screening-based%20identification.pdf Roney, Miah and Huq, AKM Moyeenul and Rullah, Kamal and Hazrulrizawati, Hamid and Syahrul, Imran and Islam, Md. Alimul and Mohd Fadhlizil Fasihi, Mohd Aluwi (2021) Virtual screening-based identification of Potent DENV-3 RdRp protease inhibitors via in-house usnic acid derivative database. Journal of Computational Biophysics and Chemistry, 20 (8). pp. 797-814. ISSN 2737-4173 https://doi.org/10.1142/S2737416521500496 https://doi.org/10.1142/S2737416521500496
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QD Chemistry
TP Chemical technology
spellingShingle QD Chemistry
TP Chemical technology
Roney, Miah
Huq, AKM Moyeenul
Rullah, Kamal
Hazrulrizawati, Hamid
Syahrul, Imran
Islam, Md. Alimul
Mohd Fadhlizil Fasihi, Mohd Aluwi
Virtual screening-based identification of Potent DENV-3 RdRp protease inhibitors via in-house usnic acid derivative database
description Dengue virus (DENV) is the causative agent of dengue fever, dengue hemorrhagic disease and dengue shock syndrome (DSS), transmitted predominantly in tropical and subtropical regions by Aedes aegypti. It infects millions of people and causes thousands of deaths each year, but there is no antiviral drug against DENV. Usnic acid lately piqued the interest of researchers for extraordinary biological characteristics, including antiviral activity. Based on high larvicidal activities against Aedes aegypti, this study aims to search usnic acid derivatives as novel anti-DENV agents through a combination of ligand-based and pharmacophore-based virtual screening. One hundred and sixteen (116) usnic acid derivatives were obtained from a database of 428 in-house usnic acid derivatives through pharmacophore filtering steps. Subsequent docking simulation on DENV-3 NS-5 RdRp afforded 41 compounds with a strong binding affinity towards the enzyme. The pharmacokinetics and drug likeness prediction resulted in seven hit compounds, which eventually undergo cytochrome P450 enzyme screening to obtain the lead compound, labelled as 362. In addition, molecular dynamic (MD) simulation of lead compound 362 was performed to verify the stability of the docked complex and the binding posture acquired in docking experiments. Overall, the lead compounds have shown a high fit value of pharmacophore, strong binding affinity towards RdRp enzyme, good pharmacokinetics, and drug likeness properties. The discovery of a new usnic acid derivative as a novel anti-DENV agent targeting RdRp could lead to further drug development and optimization to treat dengue.
format Article
author Roney, Miah
Huq, AKM Moyeenul
Rullah, Kamal
Hazrulrizawati, Hamid
Syahrul, Imran
Islam, Md. Alimul
Mohd Fadhlizil Fasihi, Mohd Aluwi
author_facet Roney, Miah
Huq, AKM Moyeenul
Rullah, Kamal
Hazrulrizawati, Hamid
Syahrul, Imran
Islam, Md. Alimul
Mohd Fadhlizil Fasihi, Mohd Aluwi
author_sort Roney, Miah
title Virtual screening-based identification of Potent DENV-3 RdRp protease inhibitors via in-house usnic acid derivative database
title_short Virtual screening-based identification of Potent DENV-3 RdRp protease inhibitors via in-house usnic acid derivative database
title_full Virtual screening-based identification of Potent DENV-3 RdRp protease inhibitors via in-house usnic acid derivative database
title_fullStr Virtual screening-based identification of Potent DENV-3 RdRp protease inhibitors via in-house usnic acid derivative database
title_full_unstemmed Virtual screening-based identification of Potent DENV-3 RdRp protease inhibitors via in-house usnic acid derivative database
title_sort virtual screening-based identification of potent denv-3 rdrp protease inhibitors via in-house usnic acid derivative database
publisher World Scientific Publishing Co Pte Ltd
publishDate 2021
url http://umpir.ump.edu.my/id/eprint/33142/1/Virtual%20screening-based%20identification.pdf
http://umpir.ump.edu.my/id/eprint/33142/
https://doi.org/10.1142/S2737416521500496
https://doi.org/10.1142/S2737416521500496
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