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Computational evidence for nitro derivatives of quinoline and quinoline N-oxide as low-cost alternative for the treatment of SARS-CoV-2 infection

A new and more aggressive strain of coronavirus, known as SARS-CoV-2, which is highly contagious, has rapidly spread across the planet within a short period of time. Due to its high transmission rate and the significant time–space between infection and manifestation of symptoms, the WHO recently dec...

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Autores principales: Assis, Letícia C., de Castro, Alexandre A., de Jesus, João P. A., Nepovimova, Eugenie, Kuca, Kamil, Ramalho, Teodorico C., La Porta, Felipe A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7973710/
https://www.ncbi.nlm.nih.gov/pubmed/33737545
http://dx.doi.org/10.1038/s41598-021-85280-9
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author Assis, Letícia C.
de Castro, Alexandre A.
de Jesus, João P. A.
Nepovimova, Eugenie
Kuca, Kamil
Ramalho, Teodorico C.
La Porta, Felipe A.
author_facet Assis, Letícia C.
de Castro, Alexandre A.
de Jesus, João P. A.
Nepovimova, Eugenie
Kuca, Kamil
Ramalho, Teodorico C.
La Porta, Felipe A.
author_sort Assis, Letícia C.
collection PubMed
description A new and more aggressive strain of coronavirus, known as SARS-CoV-2, which is highly contagious, has rapidly spread across the planet within a short period of time. Due to its high transmission rate and the significant time–space between infection and manifestation of symptoms, the WHO recently declared this a pandemic. Because of the exponentially growing number of new cases of both infections and deaths, development of new therapeutic options to help fight this pandemic is urgently needed. The target molecules of this study were the nitro derivatives of quinoline and quinoline N-oxide. Computational design at the DFT level, docking studies, and molecular dynamics methods as a well-reasoned strategy will aid in elucidating the fundamental physicochemical properties and molecular functions of a diversity of compounds, directly accelerating the process of discovering new drugs. In this study, we discovered isomers based on the nitro derivatives of quinoline and quinoline N-oxide, which are biologically active compounds and may be low-cost alternatives for the treatment of infections induced by SARS-CoV-2.
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spelling pubmed-79737102021-03-19 Computational evidence for nitro derivatives of quinoline and quinoline N-oxide as low-cost alternative for the treatment of SARS-CoV-2 infection Assis, Letícia C. de Castro, Alexandre A. de Jesus, João P. A. Nepovimova, Eugenie Kuca, Kamil Ramalho, Teodorico C. La Porta, Felipe A. Sci Rep Article A new and more aggressive strain of coronavirus, known as SARS-CoV-2, which is highly contagious, has rapidly spread across the planet within a short period of time. Due to its high transmission rate and the significant time–space between infection and manifestation of symptoms, the WHO recently declared this a pandemic. Because of the exponentially growing number of new cases of both infections and deaths, development of new therapeutic options to help fight this pandemic is urgently needed. The target molecules of this study were the nitro derivatives of quinoline and quinoline N-oxide. Computational design at the DFT level, docking studies, and molecular dynamics methods as a well-reasoned strategy will aid in elucidating the fundamental physicochemical properties and molecular functions of a diversity of compounds, directly accelerating the process of discovering new drugs. In this study, we discovered isomers based on the nitro derivatives of quinoline and quinoline N-oxide, which are biologically active compounds and may be low-cost alternatives for the treatment of infections induced by SARS-CoV-2. Nature Publishing Group UK 2021-03-18 /pmc/articles/PMC7973710/ /pubmed/33737545 http://dx.doi.org/10.1038/s41598-021-85280-9 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Assis, Letícia C.
de Castro, Alexandre A.
de Jesus, João P. A.
Nepovimova, Eugenie
Kuca, Kamil
Ramalho, Teodorico C.
La Porta, Felipe A.
Computational evidence for nitro derivatives of quinoline and quinoline N-oxide as low-cost alternative for the treatment of SARS-CoV-2 infection
title Computational evidence for nitro derivatives of quinoline and quinoline N-oxide as low-cost alternative for the treatment of SARS-CoV-2 infection
title_full Computational evidence for nitro derivatives of quinoline and quinoline N-oxide as low-cost alternative for the treatment of SARS-CoV-2 infection
title_fullStr Computational evidence for nitro derivatives of quinoline and quinoline N-oxide as low-cost alternative for the treatment of SARS-CoV-2 infection
title_full_unstemmed Computational evidence for nitro derivatives of quinoline and quinoline N-oxide as low-cost alternative for the treatment of SARS-CoV-2 infection
title_short Computational evidence for nitro derivatives of quinoline and quinoline N-oxide as low-cost alternative for the treatment of SARS-CoV-2 infection
title_sort computational evidence for nitro derivatives of quinoline and quinoline n-oxide as low-cost alternative for the treatment of sars-cov-2 infection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7973710/
https://www.ncbi.nlm.nih.gov/pubmed/33737545
http://dx.doi.org/10.1038/s41598-021-85280-9
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