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Decoding information on COVID–19: Ontological approach towards design possible therapeutics

To date, no effective preventive or curative medical interventions exist against COVID-19, caused by Severe Acute Respiratory Syndrome corona virus 2 (SARS CoV-2). The available interventions are only supportive and palliative in nature. Popular among the emerging explanations for the mortality from...

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Autores principales: Jayachandran, Swaminathan K., Anusuyadevi, Muthuswamy, Essa, Musthafa Mohamed, Qoronfleh, M. Walid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691137/
https://www.ncbi.nlm.nih.gov/pubmed/33263073
http://dx.doi.org/10.1016/j.imu.2020.100486
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author Jayachandran, Swaminathan K.
Anusuyadevi, Muthuswamy
Essa, Musthafa Mohamed
Qoronfleh, M. Walid
author_facet Jayachandran, Swaminathan K.
Anusuyadevi, Muthuswamy
Essa, Musthafa Mohamed
Qoronfleh, M. Walid
author_sort Jayachandran, Swaminathan K.
collection PubMed
description To date, no effective preventive or curative medical interventions exist against COVID-19, caused by Severe Acute Respiratory Syndrome corona virus 2 (SARS CoV-2). The available interventions are only supportive and palliative in nature. Popular among the emerging explanations for the mortality from COVID-19 is “cytokine storm”, attributed to the body's aggressive immune response to this novel pathogen. In less than a year the disease has spread to almost all countries, though the mortality rates have varied significantly from country to country based on factors such as the demographical mix of the population, prevalence of comorbidities, as well as prior exposure to viruses from the corona family. This review examines the current literature on mortality rates across the globe, explores the possible reasons, thereby decoding variations. COVID-19 researchers have noted unique characteristics in the structural and host-pathogen interaction and identified several possible target proteins and sites that could exhibit control over the entry of SARS CoV-2 into the host, which this paper reviews in detail. Identification of new targets, both in the virus and the host, may accelerate the search for effective vaccines and curative drugs against COVID-19. Further, the ontological approach of this review is likely to provide insights for researchers to anticipate and be ready for future mutant viruses that may emerge in future.
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spelling pubmed-76911372020-11-27 Decoding information on COVID–19: Ontological approach towards design possible therapeutics Jayachandran, Swaminathan K. Anusuyadevi, Muthuswamy Essa, Musthafa Mohamed Qoronfleh, M. Walid Inform Med Unlocked Article To date, no effective preventive or curative medical interventions exist against COVID-19, caused by Severe Acute Respiratory Syndrome corona virus 2 (SARS CoV-2). The available interventions are only supportive and palliative in nature. Popular among the emerging explanations for the mortality from COVID-19 is “cytokine storm”, attributed to the body's aggressive immune response to this novel pathogen. In less than a year the disease has spread to almost all countries, though the mortality rates have varied significantly from country to country based on factors such as the demographical mix of the population, prevalence of comorbidities, as well as prior exposure to viruses from the corona family. This review examines the current literature on mortality rates across the globe, explores the possible reasons, thereby decoding variations. COVID-19 researchers have noted unique characteristics in the structural and host-pathogen interaction and identified several possible target proteins and sites that could exhibit control over the entry of SARS CoV-2 into the host, which this paper reviews in detail. Identification of new targets, both in the virus and the host, may accelerate the search for effective vaccines and curative drugs against COVID-19. Further, the ontological approach of this review is likely to provide insights for researchers to anticipate and be ready for future mutant viruses that may emerge in future. The Author(s). Published by Elsevier Ltd. 2021 2020-11-27 /pmc/articles/PMC7691137/ /pubmed/33263073 http://dx.doi.org/10.1016/j.imu.2020.100486 Text en © 2020 The Author(s) 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
Jayachandran, Swaminathan K.
Anusuyadevi, Muthuswamy
Essa, Musthafa Mohamed
Qoronfleh, M. Walid
Decoding information on COVID–19: Ontological approach towards design possible therapeutics
title Decoding information on COVID–19: Ontological approach towards design possible therapeutics
title_full Decoding information on COVID–19: Ontological approach towards design possible therapeutics
title_fullStr Decoding information on COVID–19: Ontological approach towards design possible therapeutics
title_full_unstemmed Decoding information on COVID–19: Ontological approach towards design possible therapeutics
title_short Decoding information on COVID–19: Ontological approach towards design possible therapeutics
title_sort decoding information on covid–19: ontological approach towards design possible therapeutics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691137/
https://www.ncbi.nlm.nih.gov/pubmed/33263073
http://dx.doi.org/10.1016/j.imu.2020.100486
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