Cargando…

In silico investigation on the inhibitory effect of fungal secondary metabolites on RNA dependent RNA polymerase of SARS-CoV-II: A docking and molecular dynamic simulation study

The newly emerged Coronavirus Disease 2019 (COVID-19) rapidly outspread worldwide and now is one of the biggest infectious pandemics in human society. In this study, the inhibitory potential of 99 secondary metabolites obtained from endophytic fungi was investigated against the new coronavirus RNA-d...

Descripción completa

Detalles Bibliográficos
Autores principales: Ebrahimi, Kosar Sadat, Ansari, Mohabbat, Hosseyni Moghaddam, Mahdieh S, Ebrahimi, Zohre, salehi, Zohre, Shahlaei, Mohsen, Moradi, Sajad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8256662/
https://www.ncbi.nlm.nih.gov/pubmed/34242870
http://dx.doi.org/10.1016/j.compbiomed.2021.104613
_version_ 1783718142770413568
author Ebrahimi, Kosar Sadat
Ansari, Mohabbat
Hosseyni Moghaddam, Mahdieh S
Ebrahimi, Zohre
salehi, Zohre
Shahlaei, Mohsen
Moradi, Sajad
author_facet Ebrahimi, Kosar Sadat
Ansari, Mohabbat
Hosseyni Moghaddam, Mahdieh S
Ebrahimi, Zohre
salehi, Zohre
Shahlaei, Mohsen
Moradi, Sajad
author_sort Ebrahimi, Kosar Sadat
collection PubMed
description The newly emerged Coronavirus Disease 2019 (COVID-19) rapidly outspread worldwide and now is one of the biggest infectious pandemics in human society. In this study, the inhibitory potential of 99 secondary metabolites obtained from endophytic fungi was investigated against the new coronavirus RNA-dependent RNA polymerase (RdRp) using computational methods. A sequence of blind and targeted molecular dockings was performed to predict the more potent compounds on the viral enzyme. In the next step, the five selected compounds were further evaluated by molecular dynamics (MD) simulation. Moreover, the pharmacokinetics of the metabolites was assessed using SwissADME server. The results of molecular docking showed that compounds 18-methoxy cytochalasin J, (22E,24R)-stigmasta-5,7,22-trien-3-β-ol, beauvericin, dankasterone B, and pyrrocidine A had higher binding energy than others. The findings of MD and SwissADME demonstrated that two fungal metabolites, 18-methoxy cytochalasin J and pyrrocidine A had better results than others in terms of protein instability, strong complex formation, and pharmacokinetic properties. In conclusion, it is recommended to further evaluate the compounds 18-methoxy cytochalasin J and pyrrocidine A in the laboratory as good candidates for inhibiting COVID-19.
format Online
Article
Text
id pubmed-8256662
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier Ltd.
record_format MEDLINE/PubMed
spelling pubmed-82566622021-07-06 In silico investigation on the inhibitory effect of fungal secondary metabolites on RNA dependent RNA polymerase of SARS-CoV-II: A docking and molecular dynamic simulation study Ebrahimi, Kosar Sadat Ansari, Mohabbat Hosseyni Moghaddam, Mahdieh S Ebrahimi, Zohre salehi, Zohre Shahlaei, Mohsen Moradi, Sajad Comput Biol Med Article The newly emerged Coronavirus Disease 2019 (COVID-19) rapidly outspread worldwide and now is one of the biggest infectious pandemics in human society. In this study, the inhibitory potential of 99 secondary metabolites obtained from endophytic fungi was investigated against the new coronavirus RNA-dependent RNA polymerase (RdRp) using computational methods. A sequence of blind and targeted molecular dockings was performed to predict the more potent compounds on the viral enzyme. In the next step, the five selected compounds were further evaluated by molecular dynamics (MD) simulation. Moreover, the pharmacokinetics of the metabolites was assessed using SwissADME server. The results of molecular docking showed that compounds 18-methoxy cytochalasin J, (22E,24R)-stigmasta-5,7,22-trien-3-β-ol, beauvericin, dankasterone B, and pyrrocidine A had higher binding energy than others. The findings of MD and SwissADME demonstrated that two fungal metabolites, 18-methoxy cytochalasin J and pyrrocidine A had better results than others in terms of protein instability, strong complex formation, and pharmacokinetic properties. In conclusion, it is recommended to further evaluate the compounds 18-methoxy cytochalasin J and pyrrocidine A in the laboratory as good candidates for inhibiting COVID-19. Elsevier Ltd. 2021-08 2021-07-05 /pmc/articles/PMC8256662/ /pubmed/34242870 http://dx.doi.org/10.1016/j.compbiomed.2021.104613 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Ebrahimi, Kosar Sadat
Ansari, Mohabbat
Hosseyni Moghaddam, Mahdieh S
Ebrahimi, Zohre
salehi, Zohre
Shahlaei, Mohsen
Moradi, Sajad
In silico investigation on the inhibitory effect of fungal secondary metabolites on RNA dependent RNA polymerase of SARS-CoV-II: A docking and molecular dynamic simulation study
title In silico investigation on the inhibitory effect of fungal secondary metabolites on RNA dependent RNA polymerase of SARS-CoV-II: A docking and molecular dynamic simulation study
title_full In silico investigation on the inhibitory effect of fungal secondary metabolites on RNA dependent RNA polymerase of SARS-CoV-II: A docking and molecular dynamic simulation study
title_fullStr In silico investigation on the inhibitory effect of fungal secondary metabolites on RNA dependent RNA polymerase of SARS-CoV-II: A docking and molecular dynamic simulation study
title_full_unstemmed In silico investigation on the inhibitory effect of fungal secondary metabolites on RNA dependent RNA polymerase of SARS-CoV-II: A docking and molecular dynamic simulation study
title_short In silico investigation on the inhibitory effect of fungal secondary metabolites on RNA dependent RNA polymerase of SARS-CoV-II: A docking and molecular dynamic simulation study
title_sort in silico investigation on the inhibitory effect of fungal secondary metabolites on rna dependent rna polymerase of sars-cov-ii: a docking and molecular dynamic simulation study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8256662/
https://www.ncbi.nlm.nih.gov/pubmed/34242870
http://dx.doi.org/10.1016/j.compbiomed.2021.104613
work_keys_str_mv AT ebrahimikosarsadat insilicoinvestigationontheinhibitoryeffectoffungalsecondarymetabolitesonrnadependentrnapolymeraseofsarscoviiadockingandmoleculardynamicsimulationstudy
AT ansarimohabbat insilicoinvestigationontheinhibitoryeffectoffungalsecondarymetabolitesonrnadependentrnapolymeraseofsarscoviiadockingandmoleculardynamicsimulationstudy
AT hosseynimoghaddammahdiehs insilicoinvestigationontheinhibitoryeffectoffungalsecondarymetabolitesonrnadependentrnapolymeraseofsarscoviiadockingandmoleculardynamicsimulationstudy
AT ebrahimizohre insilicoinvestigationontheinhibitoryeffectoffungalsecondarymetabolitesonrnadependentrnapolymeraseofsarscoviiadockingandmoleculardynamicsimulationstudy
AT salehizohre insilicoinvestigationontheinhibitoryeffectoffungalsecondarymetabolitesonrnadependentrnapolymeraseofsarscoviiadockingandmoleculardynamicsimulationstudy
AT shahlaeimohsen insilicoinvestigationontheinhibitoryeffectoffungalsecondarymetabolitesonrnadependentrnapolymeraseofsarscoviiadockingandmoleculardynamicsimulationstudy
AT moradisajad insilicoinvestigationontheinhibitoryeffectoffungalsecondarymetabolitesonrnadependentrnapolymeraseofsarscoviiadockingandmoleculardynamicsimulationstudy