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Coronavirus 2: Analysis of Regularity of Complete Genome (SARS-CoV-2/Hu/DP/Kng/19-020 RNA)

This paper shows a technique for the detection of regularities in the complete genome of Coronavirus 2. For this, the concept of intervals in the RNA chain and their comparison within the known sequence is used. The Maximum Regularity Index was applied. The results show that areas of high regularity...

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Autor Principal: Morales-López, Y.
Formato: Otro
Idioma: Español
Publicado: Univesidad Nacional de Costa Rica 2020
Materias:
616.91 Enfermedades virales
Acceso en línea: http://covid19.csuca.org/13/
id RepoCovid1913
recordtype eprints
spelling RepoCovid19132020-06-01T18:12:47Z http://covid19.csuca.org/13/ Coronavirus 2: Analysis of Regularity of Complete Genome (SARS-CoV-2/Hu/DP/Kng/19-020 RNA) Morales-López, Y. 616.91 Enfermedades virales This paper shows a technique for the detection of regularities in the complete genome of Coronavirus 2. For this, the concept of intervals in the RNA chain and their comparison within the known sequence is used. The Maximum Regularity Index was applied. The results show that areas of high regularity are identified that coincide with ORF10, Gene N, nucleocapsid phosphoprotein and others. The interval around 3500 and the interval around 11000, respectively, appear with high values of regularity and this do not correspond to particularly documented elements (both within Gene: Orf1ab). It might be in the interest of giving importance to that region. The detection of regularities can enhance the creation of biochemical or genetic techniques to deactivate certain functions of Coronavirus 2 or control its effects. Univesidad Nacional de Costa Rica 2020-04-19 Other NonPeerReviewed text es cc_by_4 https://covid19.csuca.org/13/1/Coronavirus%202%20Complete%20Genome%20Regularity%20Analysis%20v2.pdf Morales-López, Y. ORCID: https://orcid.org/0000-0002-2973-4038 <https://orcid.org/0000-0002-2973-4038> (2020) Coronavirus 2: Analysis of Regularity of Complete Genome (SARS-CoV-2/Hu/DP/Kng/19-020 RNA). Univesidad Nacional de Costa Rica.
institution Consejo Superior Universitario Centroamericano
collection Repositorio COVID-19 CSUCA
language Español
topic 616.91 Enfermedades virales
spellingShingle 616.91 Enfermedades virales
Morales-López, Y.
Coronavirus 2: Analysis of Regularity of Complete Genome (SARS-CoV-2/Hu/DP/Kng/19-020 RNA)
description This paper shows a technique for the detection of regularities in the complete genome of Coronavirus 2. For this, the concept of intervals in the RNA chain and their comparison within the known sequence is used. The Maximum Regularity Index was applied. The results show that areas of high regularity are identified that coincide with ORF10, Gene N, nucleocapsid phosphoprotein and others. The interval around 3500 and the interval around 11000, respectively, appear with high values of regularity and this do not correspond to particularly documented elements (both within Gene: Orf1ab). It might be in the interest of giving importance to that region. The detection of regularities can enhance the creation of biochemical or genetic techniques to deactivate certain functions of Coronavirus 2 or control its effects.
format Otro
author Morales-López, Y.
author_sort Morales-López, Y.
title Coronavirus 2: Analysis of Regularity of Complete Genome (SARS-CoV-2/Hu/DP/Kng/19-020 RNA)
title_short Coronavirus 2: Analysis of Regularity of Complete Genome (SARS-CoV-2/Hu/DP/Kng/19-020 RNA)
title_full Coronavirus 2: Analysis of Regularity of Complete Genome (SARS-CoV-2/Hu/DP/Kng/19-020 RNA)
title_fullStr Coronavirus 2: Analysis of Regularity of Complete Genome (SARS-CoV-2/Hu/DP/Kng/19-020 RNA)
title_full_unstemmed Coronavirus 2: Analysis of Regularity of Complete Genome (SARS-CoV-2/Hu/DP/Kng/19-020 RNA)
title_sort coronavirus 2: analysis of regularity of complete genome (sars-cov-2/hu/dp/kng/19-020 rna)
publisher Univesidad Nacional de Costa Rica
publishDate 2020
url http://covid19.csuca.org/13/
_version_ 1796078067999834112
score 12.040689

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