Identification of Potential HCV Inhibitors Based on the Interaction of Epigallocatechin-3-Gallate with Viral Envelope Proteins

Hepatitis C is affecting millions of people around the globe annually, which leads to death in very high numbers. After many years of research, hepatitis C virus (HCV) remains a serious threat to the human population and needs proper management. The in silico approach in the drug discovery process i...

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Main Authors: Fareena Shahid, Noreen, Roshan Ali, Syed Lal Badshah, Syed Babar Jamal, Riaz Ullah, Ahmed Bari, Hafiz Majid Mahmood, Muhammad Sohaib, Siddique Akber Ansari
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Molecules
Subjects:
Online Access:https://www.mdpi.com/1420-3049/26/5/1257
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spelling doaj-2bacf18d32ae4f89a4a622330dedccc52021-02-27T00:01:32ZengMDPI AGMolecules1420-30492021-02-01261257125710.3390/molecules26051257Identification of Potential HCV Inhibitors Based on the Interaction of Epigallocatechin-3-Gallate with Viral Envelope ProteinsFareena Shahid0Noreen1Roshan Ali2Syed Lal Badshah3Syed Babar Jamal4Riaz Ullah5Ahmed Bari6Hafiz Majid Mahmood7Muhammad Sohaib8Siddique Akber Ansari9Institute of Basic Medical Sciences, Khyber Medical University, Peshawar 25000, PakistanInstitute of Basic Medical Sciences, Khyber Medical University, Peshawar 25000, PakistanInstitute of Basic Medical Sciences, Khyber Medical University, Peshawar 25000, PakistanDepartment of Chemistry, Islamia College University, Peshawar 25120, PakistanDepartment of Biological Sciences, National University of Medical Sceinces, Rawalpindi 46000, PakistanDepartment of Pharmacognosy (MAPPRC), College of Pharmacy, King Saud University, Riyadh 11451, Saudi ArabiaDepartment of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh 11451, Saudi ArabiaDepartment of Pharmacology, College of Pharmacy, King Saud University, Riyadh 11451, Saudi ArabiaDepartment of Soil Science, College of Food and Agriculture Sciences, King Saud University, P.O. Box 2460, Riyadh 11451, Saudi ArabiaDepartment of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh 11451, Saudi ArabiaHepatitis C is affecting millions of people around the globe annually, which leads to death in very high numbers. After many years of research, hepatitis C virus (HCV) remains a serious threat to the human population and needs proper management. The in silico approach in the drug discovery process is an efficient method in identifying inhibitors for various diseases. In our study, the interaction between Epigallocatechin-3-gallate, a component of green tea, and envelope glycoprotein E2 of HCV is evaluated. Epigallocatechin-3-gallate is the most promising polyphenol approved through cell culture analysis that can inhibit the entry of HCV. Therefore, various in silico techniques have been employed to find out other potential inhibitors that can behave as EGCG. Thus, the homology modelling of E2 protein was performed. The potential lead molecules were predicted using ligand-based as well as structure-based virtual screening methods. The compounds obtained were then screened through PyRx. The drugs obtained were ranked based on their binding affinities. Furthermore, the docking of the topmost drugs was performed by AutoDock Vina, while its 2D interactions were plotted in LigPlot+. The lead compound mms02387687 (2-[[5-[(4-ethylphenoxy) methyl]-4-prop-2-enyl-1,2,4-triazol-3-yl] sulfanyl]-N-[3(trifluoromethyl) phenyl] acetamide) was ranked on top, and we believe it can serve as a drug against HCV in the future, owing to experimental validation.https://www.mdpi.com/1420-3049/26/5/1257hepatitis C virusE2 proteinhomology modelingepigallocatechin-3-gallatevirtual screening
collection DOAJ
language English
format Article
sources DOAJ
author Fareena Shahid
Noreen
Roshan Ali
Syed Lal Badshah
Syed Babar Jamal
Riaz Ullah
Ahmed Bari
Hafiz Majid Mahmood
Muhammad Sohaib
Siddique Akber Ansari
spellingShingle Fareena Shahid
Noreen
Roshan Ali
Syed Lal Badshah
Syed Babar Jamal
Riaz Ullah
Ahmed Bari
Hafiz Majid Mahmood
Muhammad Sohaib
Siddique Akber Ansari
Identification of Potential HCV Inhibitors Based on the Interaction of Epigallocatechin-3-Gallate with Viral Envelope Proteins
Molecules
hepatitis C virus
E2 protein
homology modeling
epigallocatechin-3-gallate
virtual screening
author_facet Fareena Shahid
Noreen
Roshan Ali
Syed Lal Badshah
Syed Babar Jamal
Riaz Ullah
Ahmed Bari
Hafiz Majid Mahmood
Muhammad Sohaib
Siddique Akber Ansari
author_sort Fareena Shahid
title Identification of Potential HCV Inhibitors Based on the Interaction of Epigallocatechin-3-Gallate with Viral Envelope Proteins
title_short Identification of Potential HCV Inhibitors Based on the Interaction of Epigallocatechin-3-Gallate with Viral Envelope Proteins
title_full Identification of Potential HCV Inhibitors Based on the Interaction of Epigallocatechin-3-Gallate with Viral Envelope Proteins
title_fullStr Identification of Potential HCV Inhibitors Based on the Interaction of Epigallocatechin-3-Gallate with Viral Envelope Proteins
title_full_unstemmed Identification of Potential HCV Inhibitors Based on the Interaction of Epigallocatechin-3-Gallate with Viral Envelope Proteins
title_sort identification of potential hcv inhibitors based on the interaction of epigallocatechin-3-gallate with viral envelope proteins
publisher MDPI AG
series Molecules
issn 1420-3049
publishDate 2021-02-01
description Hepatitis C is affecting millions of people around the globe annually, which leads to death in very high numbers. After many years of research, hepatitis C virus (HCV) remains a serious threat to the human population and needs proper management. The in silico approach in the drug discovery process is an efficient method in identifying inhibitors for various diseases. In our study, the interaction between Epigallocatechin-3-gallate, a component of green tea, and envelope glycoprotein E2 of HCV is evaluated. Epigallocatechin-3-gallate is the most promising polyphenol approved through cell culture analysis that can inhibit the entry of HCV. Therefore, various in silico techniques have been employed to find out other potential inhibitors that can behave as EGCG. Thus, the homology modelling of E2 protein was performed. The potential lead molecules were predicted using ligand-based as well as structure-based virtual screening methods. The compounds obtained were then screened through PyRx. The drugs obtained were ranked based on their binding affinities. Furthermore, the docking of the topmost drugs was performed by AutoDock Vina, while its 2D interactions were plotted in LigPlot+. The lead compound mms02387687 (2-[[5-[(4-ethylphenoxy) methyl]-4-prop-2-enyl-1,2,4-triazol-3-yl] sulfanyl]-N-[3(trifluoromethyl) phenyl] acetamide) was ranked on top, and we believe it can serve as a drug against HCV in the future, owing to experimental validation.
topic hepatitis C virus
E2 protein
homology modeling
epigallocatechin-3-gallate
virtual screening
url https://www.mdpi.com/1420-3049/26/5/1257
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