Prediction of Anti-COVID 19 Therapeutic Power of Medicinal Moroccan Plants Using Molecular Docking
| Autor: | Mohamed Blaghen, Faiza Bennis, Mariame El Messal, Badreddine Nouadi, Abdelkarim Ezaouine, Fatima Chegdani |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Coronavirus disease 2019 (COVID-19)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Protein Data Bank (RCSB PDB) Computational biology Biochemistry Autodock vina 03 medical and health sciences Emerging pathogen 0302 clinical medicine Moroccan plants 030212 general & internal medicine Medicinal plants Molecular Biology lcsh:QH301-705.5 030304 developmental biology Original Research 0303 health sciences Chemistry Applied Mathematics anti-COVID 19 Computer Science Applications Computational Mathematics Dextran sulfate lcsh:Biology (General) Docking (molecular) Molecular docking SARS-CoV2 |
| Zdroj: | Bioinformatics and Biology Insights Bioinformatics and Biology Insights, Vol 15 (2021) |
| ISSN: | 1177-9322 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|