Computational quest for finding potential Ebola VP40 inhibitors: a molecular docking study

Interaction of Ebola virus matrix protein VP40 with RNA is crucial in the early infection stage to facilitate the transcription of the viral gene. Thus, VP40 is a promising target to inhibit the Ebola virus from spreading. This study aims to identify and optimize ligands that can potentially block...

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Main Authors: Mohamad Yussoff, Mohamad Ariff, Abdul Hamid, Azzmer Azzar, Abd Hamid, Shafida, Abd Halim, Khairul Bariyyah
Format: Article
Language:English
English
Published: Faculty of Science and Technology, Universiti Kebangsaan Malaysia 2020
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Online Access:http://irep.iium.edu.my/83780/1/Sains%20Malaysiana-Ariff.pdf
http://irep.iium.edu.my/83780/7/83780_Computational%20quest%20for%20finding%20potential%20Ebola%20VP40%20inhibitors.pdf
http://irep.iium.edu.my/83780/
http://www.ukm.edu.my/jsm/pdf_files/SM-PDF-49-3-2020/ARTIKEL%208.pdf
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Institution: Universiti Islam Antarabangsa Malaysia
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spelling my.iium.irep.837802020-10-26T08:56:44Z http://irep.iium.edu.my/83780/ Computational quest for finding potential Ebola VP40 inhibitors: a molecular docking study Mohamad Yussoff, Mohamad Ariff Abdul Hamid, Azzmer Azzar Abd Hamid, Shafida Abd Halim, Khairul Bariyyah QD Chemistry Interaction of Ebola virus matrix protein VP40 with RNA is crucial in the early infection stage to facilitate the transcription of the viral gene. Thus, VP40 is a promising target to inhibit the Ebola virus from spreading. This study aims to identify and optimize ligands that can potentially block the VP40-RNA binding site. A total of 42 compounds from previously studied ligands from the literature were simulated against the RNA binding site using Autodock Vina. The top ten ligands were used as templates for similarity search in ZINC database followed by structured-based virtual screening. Then, the ADME properties of the top compounds were predicted computationally using SwissADME server. Our results showed that Q-96 (ZINC ID: 1338855) is the best docked compound with binding free energy of -7.5 kcal/ mol. The compound also has satisfactory ADME properties prediction with good lipophilicity value, moderate water solubility and high gastrointestinal absorption. Besides, this ligand does not violate any drug likeness rules as well as no PAINS and Brenk alerts, indicate it has the properties as a drug. Thus, it is worth to carry out further investigations on this structure more in silico as well as in vitro and in vivo levels towards finding the treatment for Ebola virus disease. Faculty of Science and Technology, Universiti Kebangsaan Malaysia 2020 Article PeerReviewed application/pdf en http://irep.iium.edu.my/83780/1/Sains%20Malaysiana-Ariff.pdf application/pdf en http://irep.iium.edu.my/83780/7/83780_Computational%20quest%20for%20finding%20potential%20Ebola%20VP40%20inhibitors.pdf Mohamad Yussoff, Mohamad Ariff and Abdul Hamid, Azzmer Azzar and Abd Hamid, Shafida and Abd Halim, Khairul Bariyyah (2020) Computational quest for finding potential Ebola VP40 inhibitors: a molecular docking study. Sains Malaysiana, 49 (3). pp. 537-544. ISSN 0126-6039 http://www.ukm.edu.my/jsm/pdf_files/SM-PDF-49-3-2020/ARTIKEL%208.pdf
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic QD Chemistry
spellingShingle QD Chemistry
Mohamad Yussoff, Mohamad Ariff
Abdul Hamid, Azzmer Azzar
Abd Hamid, Shafida
Abd Halim, Khairul Bariyyah
Computational quest for finding potential Ebola VP40 inhibitors: a molecular docking study
description Interaction of Ebola virus matrix protein VP40 with RNA is crucial in the early infection stage to facilitate the transcription of the viral gene. Thus, VP40 is a promising target to inhibit the Ebola virus from spreading. This study aims to identify and optimize ligands that can potentially block the VP40-RNA binding site. A total of 42 compounds from previously studied ligands from the literature were simulated against the RNA binding site using Autodock Vina. The top ten ligands were used as templates for similarity search in ZINC database followed by structured-based virtual screening. Then, the ADME properties of the top compounds were predicted computationally using SwissADME server. Our results showed that Q-96 (ZINC ID: 1338855) is the best docked compound with binding free energy of -7.5 kcal/ mol. The compound also has satisfactory ADME properties prediction with good lipophilicity value, moderate water solubility and high gastrointestinal absorption. Besides, this ligand does not violate any drug likeness rules as well as no PAINS and Brenk alerts, indicate it has the properties as a drug. Thus, it is worth to carry out further investigations on this structure more in silico as well as in vitro and in vivo levels towards finding the treatment for Ebola virus disease.
format Article
author Mohamad Yussoff, Mohamad Ariff
Abdul Hamid, Azzmer Azzar
Abd Hamid, Shafida
Abd Halim, Khairul Bariyyah
author_facet Mohamad Yussoff, Mohamad Ariff
Abdul Hamid, Azzmer Azzar
Abd Hamid, Shafida
Abd Halim, Khairul Bariyyah
author_sort Mohamad Yussoff, Mohamad Ariff
title Computational quest for finding potential Ebola VP40 inhibitors: a molecular docking study
title_short Computational quest for finding potential Ebola VP40 inhibitors: a molecular docking study
title_full Computational quest for finding potential Ebola VP40 inhibitors: a molecular docking study
title_fullStr Computational quest for finding potential Ebola VP40 inhibitors: a molecular docking study
title_full_unstemmed Computational quest for finding potential Ebola VP40 inhibitors: a molecular docking study
title_sort computational quest for finding potential ebola vp40 inhibitors: a molecular docking study
publisher Faculty of Science and Technology, Universiti Kebangsaan Malaysia
publishDate 2020
url http://irep.iium.edu.my/83780/1/Sains%20Malaysiana-Ariff.pdf
http://irep.iium.edu.my/83780/7/83780_Computational%20quest%20for%20finding%20potential%20Ebola%20VP40%20inhibitors.pdf
http://irep.iium.edu.my/83780/
http://www.ukm.edu.my/jsm/pdf_files/SM-PDF-49-3-2020/ARTIKEL%208.pdf
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