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Towards faster response against emerging epidemics and prediction of variants of concern

The author, the journal, Computers in Biology and Medicine (CBM), and Elsevier Press more generally, played a helpful very early role in responding to COVID-19. Within a few days of the appearance of the “Wuhan Seafood isolate” genome on GenBank, a bioinformatics study was posted by the present auth...

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Autor principal: Robson, B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119712/
https://www.ncbi.nlm.nih.gov/pubmed/35611320
http://dx.doi.org/10.1016/j.imu.2022.100966
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author Robson, B.
author_facet Robson, B.
author_sort Robson, B.
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description The author, the journal, Computers in Biology and Medicine (CBM), and Elsevier Press more generally, played a helpful very early role in responding to COVID-19. Within a few days of the appearance of the “Wuhan Seafood isolate” genome on GenBank, a bioinformatics study was posted by the present author in ResearchGate in January 2020, “Preliminary Bioinformatics Studies on the Design of Synthetic Vaccines and Preventative Peptidomimetic Antagonists against the Wuhan Seafood Market Coronavirus. Possible Importance of the KRSFIEDLLFNKV Motif” DOI: 10.13140/RG.2.2.18275.09761. On February 2nd(,) 2020, a more thorough analysis was submitted to CBM, e-published on February 26, and formally published in April 2020, at about the same time as the virus named as 2019n-CoV was identified as essentially SARS and renames SARS-COV-2. This was followed by four further papers describing in more detail some previously unreported aspects of the early investigation. The speed of research and writing of the papers was made possible by knowledge-gathering tools. Based on this and earlier experiences with fast responses to emerging epidemics such as HIV and Mad Cow Disease, it is possible to envisage the nature of a speedier response to emerging epidemics and new variants of concern in established epidemics.
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spelling pubmed-91197122022-05-20 Towards faster response against emerging epidemics and prediction of variants of concern Robson, B. Inform Med Unlocked Article The author, the journal, Computers in Biology and Medicine (CBM), and Elsevier Press more generally, played a helpful very early role in responding to COVID-19. Within a few days of the appearance of the “Wuhan Seafood isolate” genome on GenBank, a bioinformatics study was posted by the present author in ResearchGate in January 2020, “Preliminary Bioinformatics Studies on the Design of Synthetic Vaccines and Preventative Peptidomimetic Antagonists against the Wuhan Seafood Market Coronavirus. Possible Importance of the KRSFIEDLLFNKV Motif” DOI: 10.13140/RG.2.2.18275.09761. On February 2nd(,) 2020, a more thorough analysis was submitted to CBM, e-published on February 26, and formally published in April 2020, at about the same time as the virus named as 2019n-CoV was identified as essentially SARS and renames SARS-COV-2. This was followed by four further papers describing in more detail some previously unreported aspects of the early investigation. The speed of research and writing of the papers was made possible by knowledge-gathering tools. Based on this and earlier experiences with fast responses to emerging epidemics such as HIV and Mad Cow Disease, it is possible to envisage the nature of a speedier response to emerging epidemics and new variants of concern in established epidemics. The Author(s). Published by Elsevier Ltd. 2022 2022-05-20 /pmc/articles/PMC9119712/ /pubmed/35611320 http://dx.doi.org/10.1016/j.imu.2022.100966 Text en © 2022 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
Robson, B.
Towards faster response against emerging epidemics and prediction of variants of concern
title Towards faster response against emerging epidemics and prediction of variants of concern
title_full Towards faster response against emerging epidemics and prediction of variants of concern
title_fullStr Towards faster response against emerging epidemics and prediction of variants of concern
title_full_unstemmed Towards faster response against emerging epidemics and prediction of variants of concern
title_short Towards faster response against emerging epidemics and prediction of variants of concern
title_sort towards faster response against emerging epidemics and prediction of variants of concern
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9119712/
https://www.ncbi.nlm.nih.gov/pubmed/35611320
http://dx.doi.org/10.1016/j.imu.2022.100966
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