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In silico analysis of natural compounds targeting structural and nonstructural proteins of chikungunya virus

Background: Chikungunya fever presents as a high-grade fever during its acute febrile phase and can be prolonged for months as chronic arthritis in affected individuals. Currently, there are no effective drugs or vaccines against this virus. The present study was undertaken to evaluate protein-ligan...

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Autores principales: Jain, Jaspreet, Kumari, Anchala, Somvanshi, Pallavi, Grover, Abhinav, Pai, Somnath, Sunil, Sujatha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5747330/
https://www.ncbi.nlm.nih.gov/pubmed/29333236
http://dx.doi.org/10.12688/f1000research.12301.2
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author Jain, Jaspreet
Kumari, Anchala
Somvanshi, Pallavi
Grover, Abhinav
Pai, Somnath
Sunil, Sujatha
author_facet Jain, Jaspreet
Kumari, Anchala
Somvanshi, Pallavi
Grover, Abhinav
Pai, Somnath
Sunil, Sujatha
author_sort Jain, Jaspreet
collection PubMed
description Background: Chikungunya fever presents as a high-grade fever during its acute febrile phase and can be prolonged for months as chronic arthritis in affected individuals. Currently, there are no effective drugs or vaccines against this virus. The present study was undertaken to evaluate protein-ligand interactions of all chikungunya virus (CHIKV) proteins with natural compounds from a MolBase library in order to identify potential inhibitors of CHIKV. Methods: Virtual screening of the natural compound library against four non-structural and five structural proteins of CHIKV was performed. Homology models of the viral proteins with unknown structures were created and energy minimized by molecular dynamic simulations. Molecular docking was performed to identify the potential inhibitors for CHIKV. The absorption, distribution, metabolism and excretion (ADME) toxicity parameters for the potential inhibitors were predicted for further prioritization of the compounds. Results: Our analysis predicted three compounds, Catechin-5-O-gallate, Rosmarinic acid and Arjungenin, to interact with CHIKV proteins; two (Catechin-5-O-gallate and Rosmarinic acid) with capsid protein, and one (Arjungenin) with the E3. Conclusion: The compounds identified show promise as potential antivirals, but further in vitro studies are required to test their efficacy against CHIKV.
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spelling pubmed-57473302018-01-11 In silico analysis of natural compounds targeting structural and nonstructural proteins of chikungunya virus Jain, Jaspreet Kumari, Anchala Somvanshi, Pallavi Grover, Abhinav Pai, Somnath Sunil, Sujatha F1000Res Research Article Background: Chikungunya fever presents as a high-grade fever during its acute febrile phase and can be prolonged for months as chronic arthritis in affected individuals. Currently, there are no effective drugs or vaccines against this virus. The present study was undertaken to evaluate protein-ligand interactions of all chikungunya virus (CHIKV) proteins with natural compounds from a MolBase library in order to identify potential inhibitors of CHIKV. Methods: Virtual screening of the natural compound library against four non-structural and five structural proteins of CHIKV was performed. Homology models of the viral proteins with unknown structures were created and energy minimized by molecular dynamic simulations. Molecular docking was performed to identify the potential inhibitors for CHIKV. The absorption, distribution, metabolism and excretion (ADME) toxicity parameters for the potential inhibitors were predicted for further prioritization of the compounds. Results: Our analysis predicted three compounds, Catechin-5-O-gallate, Rosmarinic acid and Arjungenin, to interact with CHIKV proteins; two (Catechin-5-O-gallate and Rosmarinic acid) with capsid protein, and one (Arjungenin) with the E3. Conclusion: The compounds identified show promise as potential antivirals, but further in vitro studies are required to test their efficacy against CHIKV. F1000 Research Limited 2017-12-08 /pmc/articles/PMC5747330/ /pubmed/29333236 http://dx.doi.org/10.12688/f1000research.12301.2 Text en Copyright: © 2017 Jain J et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Jain, Jaspreet
Kumari, Anchala
Somvanshi, Pallavi
Grover, Abhinav
Pai, Somnath
Sunil, Sujatha
In silico analysis of natural compounds targeting structural and nonstructural proteins of chikungunya virus
title In silico analysis of natural compounds targeting structural and nonstructural proteins of chikungunya virus
title_full In silico analysis of natural compounds targeting structural and nonstructural proteins of chikungunya virus
title_fullStr In silico analysis of natural compounds targeting structural and nonstructural proteins of chikungunya virus
title_full_unstemmed In silico analysis of natural compounds targeting structural and nonstructural proteins of chikungunya virus
title_short In silico analysis of natural compounds targeting structural and nonstructural proteins of chikungunya virus
title_sort in silico analysis of natural compounds targeting structural and nonstructural proteins of chikungunya virus
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5747330/
https://www.ncbi.nlm.nih.gov/pubmed/29333236
http://dx.doi.org/10.12688/f1000research.12301.2
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