Prediction of Anti-COVID 19 Therapeutic Power of Medicinal Moroccan Plants Using Molecular Docking
The emerging pathogen SARS-CoV2 causing coronavirus disease 2019 (COVID-19) is a global public health challenge. To the present day, COVID-19 had affected more than 40 million people worldwide. The exploration and the development of new bioactive compounds with cost-effective and specific anti-COVID...
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doaj-bec92a617ea14164afa9c90cfb45bf682021-04-10T00:04:01ZengSAGE PublishingBioinformatics and Biology Insights1177-93222021-04-011510.1177/11779322211009199Prediction of Anti-COVID 19 Therapeutic Power of Medicinal Moroccan Plants Using Molecular DockingBadreddine Nouadi0Abdelkarim Ezaouine1Mariame El Messal2Mohamed Blaghen3Faiza Bennis4Fatima Chegdani5Laboratory of Health and Environment, Faculty of Sciences Aïn Chock, Hassan II University of Casablanca, Casablanca, MoroccoLaboratory of Health and Environment, Faculty of Sciences Aïn Chock, Hassan II University of Casablanca, Casablanca, MoroccoLaboratory of Health and Environment, Faculty of Sciences Aïn Chock, Hassan II University of Casablanca, Casablanca, MoroccoLaboratory of Plant Biotechnology, Ecology and Ecosystem Valorization, Faculty of Sciences El Jadida, Chouaïb Doukkali University, El Jadida, MoroccoLaboratory of Health and Environment, Faculty of Sciences Aïn Chock, Hassan II University of Casablanca, Casablanca, MoroccoLaboratory of Health and Environment, Faculty of Sciences Aïn Chock, Hassan II University of Casablanca, Casablanca, MoroccoThe emerging pathogen SARS-CoV2 causing coronavirus disease 2019 (COVID-19) is a global public health challenge. To the present day, COVID-19 had affected more than 40 million people worldwide. The exploration and the development of new bioactive compounds with cost-effective and specific anti-COVID 19 therapeutic power is the prime focus of the current medical research. Thus, the exploitation of the molecular docking technique has become essential in the discovery and development of new drugs, to better understand drug-target interactions in their original environment. This work consists of studying the binding affinity and the type of interactions, through molecular docking, between 54 compounds from Moroccan medicinal plants, dextran sulfate and heparin (compounds not derived from medicinal plants), and 3CLpro-SARS-CoV-2, ACE2, and the post fusion core of 2019-nCoV S2 subunit. The PDB files of the target proteins and prepared herbal compounds (ligands) were subjected for docking to AutoDock Vina using UCSF Chimera, which provides a list of potential complexes based on the criteria of form complementarity of the natural compound with their binding affinities. The results of molecular docking revealed that Taxol, Rutin, Genkwanine, and Luteolin-glucoside have a high affinity with ACE2 and 3CLpro. Therefore, these natural compounds can have 2 effects at once, inhibiting 3CLpro and preventing recognition between the virus and ACE2. These compounds may have a potential therapeutic effect against SARS-CoV2, and therefore natural anti-COVID-19 compounds.https://doi.org/10.1177/11779322211009199 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Badreddine Nouadi Abdelkarim Ezaouine Mariame El Messal Mohamed Blaghen Faiza Bennis Fatima Chegdani |
spellingShingle |
Badreddine Nouadi Abdelkarim Ezaouine Mariame El Messal Mohamed Blaghen Faiza Bennis Fatima Chegdani Prediction of Anti-COVID 19 Therapeutic Power of Medicinal Moroccan Plants Using Molecular Docking Bioinformatics and Biology Insights |
author_facet |
Badreddine Nouadi Abdelkarim Ezaouine Mariame El Messal Mohamed Blaghen Faiza Bennis Fatima Chegdani |
author_sort |
Badreddine Nouadi |
title |
Prediction of Anti-COVID 19 Therapeutic Power of Medicinal Moroccan Plants Using Molecular Docking |
title_short |
Prediction of Anti-COVID 19 Therapeutic Power of Medicinal Moroccan Plants Using Molecular Docking |
title_full |
Prediction of Anti-COVID 19 Therapeutic Power of Medicinal Moroccan Plants Using Molecular Docking |
title_fullStr |
Prediction of Anti-COVID 19 Therapeutic Power of Medicinal Moroccan Plants Using Molecular Docking |
title_full_unstemmed |
Prediction of Anti-COVID 19 Therapeutic Power of Medicinal Moroccan Plants Using Molecular Docking |
title_sort |
prediction of anti-covid 19 therapeutic power of medicinal moroccan plants using molecular docking |
publisher |
SAGE Publishing |
series |
Bioinformatics and Biology Insights |
issn |
1177-9322 |
publishDate |
2021-04-01 |
description |
The emerging pathogen SARS-CoV2 causing coronavirus disease 2019 (COVID-19) is a global public health challenge. To the present day, COVID-19 had affected more than 40 million people worldwide. The exploration and the development of new bioactive compounds with cost-effective and specific anti-COVID 19 therapeutic power is the prime focus of the current medical research. Thus, the exploitation of the molecular docking technique has become essential in the discovery and development of new drugs, to better understand drug-target interactions in their original environment. This work consists of studying the binding affinity and the type of interactions, through molecular docking, between 54 compounds from Moroccan medicinal plants, dextran sulfate and heparin (compounds not derived from medicinal plants), and 3CLpro-SARS-CoV-2, ACE2, and the post fusion core of 2019-nCoV S2 subunit. The PDB files of the target proteins and prepared herbal compounds (ligands) were subjected for docking to AutoDock Vina using UCSF Chimera, which provides a list of potential complexes based on the criteria of form complementarity of the natural compound with their binding affinities. The results of molecular docking revealed that Taxol, Rutin, Genkwanine, and Luteolin-glucoside have a high affinity with ACE2 and 3CLpro. Therefore, these natural compounds can have 2 effects at once, inhibiting 3CLpro and preventing recognition between the virus and ACE2. These compounds may have a potential therapeutic effect against SARS-CoV2, and therefore natural anti-COVID-19 compounds. |
url |
https://doi.org/10.1177/11779322211009199 |
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