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 t...

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Main Authors: Mohamad Ariff Mohamad Yussoff, Azzmer Azzar Abd Hamid, Shafida Abd Hamid, Khairul Bariyyah Abd Halim
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2020
Online Access:http://journalarticle.ukm.my/15184/
http://journalarticle.ukm.my/15184/1/ARTIKEL%208.pdf
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author Mohamad Ariff Mohamad Yussoff,
Azzmer Azzar Abd Hamid,
Shafida Abd Hamid,
Khairul Bariyyah Abd Halim,
author_facet Mohamad Ariff Mohamad Yussoff,
Azzmer Azzar Abd Hamid,
Shafida Abd Hamid,
Khairul Bariyyah Abd Halim,
author_sort Mohamad Ariff Mohamad Yussoff,
building UKM Institutional Repository
collection Online Access
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.
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spelling oai:generic.eprints.org:151842020-09-14T01:57:49Z http://journalarticle.ukm.my/15184/ Computational quest for finding potential Ebola VP40 inhibitors: a molecular docking study Mohamad Ariff Mohamad Yussoff, Azzmer Azzar Abd Hamid, Shafida Abd Hamid, Khairul Bariyyah Abd Halim, 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. Penerbit Universiti Kebangsaan Malaysia 2020-03 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/15184/1/ARTIKEL%208.pdf Mohamad Ariff Mohamad Yussoff, and Azzmer Azzar Abd Hamid, and Shafida Abd Hamid, and Khairul Bariyyah Abd Halim, (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.my/jsm/malay_journals/jilid49bil3_2020/KandunganJilid49Bil3_2020.html
spellingShingle Mohamad Ariff Mohamad Yussoff,
Azzmer Azzar Abd Hamid,
Shafida Abd Hamid,
Khairul Bariyyah Abd Halim,
Computational quest for finding potential Ebola VP40 inhibitors: a molecular docking study
title 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_short 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
url http://journalarticle.ukm.my/15184/
http://journalarticle.ukm.my/15184/
http://journalarticle.ukm.my/15184/1/ARTIKEL%208.pdf