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L-amino-acids as immunity booster against COVID-19: DFT, molecular docking and MD simulations

There is great interest to explore the importance of different amino-acids on immunity of human. Immunity helps to protect us from the pathogenic infections. The amino-acids are being use to give energy and is also used as an important basic molecule for the making of cells, protecting cell and othe...

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Autores principales: Singh, Prashant, Kumar, Durgesh, Pal, Shweta, Kumari, Kamlesh, Bahadur, Indra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590830/
https://www.ncbi.nlm.nih.gov/pubmed/34803185
http://dx.doi.org/10.1016/j.molstruc.2021.131924
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author Singh, Prashant
Kumar, Durgesh
Pal, Shweta
Kumari, Kamlesh
Bahadur, Indra
author_facet Singh, Prashant
Kumar, Durgesh
Pal, Shweta
Kumari, Kamlesh
Bahadur, Indra
author_sort Singh, Prashant
collection PubMed
description There is great interest to explore the importance of different amino-acids on immunity of human. Immunity helps to protect us from the pathogenic infections. The amino-acids are being use to give energy and is also used as an important basic molecule for the making of cells, protecting cell and others. Still, a little information is known for their importance in the inhibition of main protease of SARS-CoV-2. As known, tens of billions of humans are infected due to the SARS-CoV-2 and about a million of deaths are reported due to it or COVID. As of now, no promising drug is available in the market to cure the patients from this infection. Even, the medicines beings used for the partial cure may have some side effects. Therefore, the focus is to explore the natural amino-acids against the Mpro of SARS-CoV-2 as using of amino-acids is not toxic to humans. In the present work, authors have studied the amino-acids using DFT calculations and then they were explored for their promising role in the inhibition of main protease of SARS-CoV-2 using molecular docking and molecular dynamics simulations. Out of the 20 amino-acids, arginine found to best against the main protease of SARS-CoV-2 using the molecular docking and the binding energy was -0.94 kcal/ mol. Further, molecular dynamics simulations for the main protease of SARS-CoV-2 with and without arginine was performed using the Amber and different thermodynamic parameters like ΔH and TΔS to get ΔG, comes out to be 2.74 kcal/mol. It is expected that arginine can boost the immunity.
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spelling pubmed-85908302021-11-15 L-amino-acids as immunity booster against COVID-19: DFT, molecular docking and MD simulations Singh, Prashant Kumar, Durgesh Pal, Shweta Kumari, Kamlesh Bahadur, Indra J Mol Struct Article There is great interest to explore the importance of different amino-acids on immunity of human. Immunity helps to protect us from the pathogenic infections. The amino-acids are being use to give energy and is also used as an important basic molecule for the making of cells, protecting cell and others. Still, a little information is known for their importance in the inhibition of main protease of SARS-CoV-2. As known, tens of billions of humans are infected due to the SARS-CoV-2 and about a million of deaths are reported due to it or COVID. As of now, no promising drug is available in the market to cure the patients from this infection. Even, the medicines beings used for the partial cure may have some side effects. Therefore, the focus is to explore the natural amino-acids against the Mpro of SARS-CoV-2 as using of amino-acids is not toxic to humans. In the present work, authors have studied the amino-acids using DFT calculations and then they were explored for their promising role in the inhibition of main protease of SARS-CoV-2 using molecular docking and molecular dynamics simulations. Out of the 20 amino-acids, arginine found to best against the main protease of SARS-CoV-2 using the molecular docking and the binding energy was -0.94 kcal/ mol. Further, molecular dynamics simulations for the main protease of SARS-CoV-2 with and without arginine was performed using the Amber and different thermodynamic parameters like ΔH and TΔS to get ΔG, comes out to be 2.74 kcal/mol. It is expected that arginine can boost the immunity. Elsevier B.V. 2022-02-15 2021-11-14 /pmc/articles/PMC8590830/ /pubmed/34803185 http://dx.doi.org/10.1016/j.molstruc.2021.131924 Text en © 2021 Elsevier B.V. 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
Singh, Prashant
Kumar, Durgesh
Pal, Shweta
Kumari, Kamlesh
Bahadur, Indra
L-amino-acids as immunity booster against COVID-19: DFT, molecular docking and MD simulations
title L-amino-acids as immunity booster against COVID-19: DFT, molecular docking and MD simulations
title_full L-amino-acids as immunity booster against COVID-19: DFT, molecular docking and MD simulations
title_fullStr L-amino-acids as immunity booster against COVID-19: DFT, molecular docking and MD simulations
title_full_unstemmed L-amino-acids as immunity booster against COVID-19: DFT, molecular docking and MD simulations
title_short L-amino-acids as immunity booster against COVID-19: DFT, molecular docking and MD simulations
title_sort l-amino-acids as immunity booster against covid-19: dft, molecular docking and md simulations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590830/
https://www.ncbi.nlm.nih.gov/pubmed/34803185
http://dx.doi.org/10.1016/j.molstruc.2021.131924
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