COMPLEXITY and INFORMATION-BASED ANALYSIS of the VARIATIONS of the SARS-COV-2 GENOME in the UNITED STATES of AMERICA (USA)

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F20%3A50017287" target="_blank" >RIV/62690094:18450/20:50017287 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.worldscientific.com/doi/abs/10.1142/S0218348X21500237" target="_blank" >https://www.worldscientific.com/doi/abs/10.1142/S0218348X21500237</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1142/S0218348X21500237" target="_blank" >10.1142/S0218348X21500237</a>

Jazyk výsledku

angličtina

Název v původním jazyce

COMPLEXITY and INFORMATION-BASED ANALYSIS of the VARIATIONS of the SARS-COV-2 GENOME in the UNITED STATES of AMERICA (USA)

Popis výsledku v původním jazyce

SARS-CoV-2 is a deadly virus that has affected human life since late 2019. Between all the countries that have reported the cases of patients with SARS-CoV-2 disease (COVID-19), the United States of America has the highest number of infected people and mortality rate. Since different states in the USA reported different numbers of patients and also death cases, analyzing the difference of SARS-CoV-2 between these states has great importance. Since the generated RNA walk from the SARS-CoV-2 genome includes complex random fluctuations that also contain information, in this study, we employ the complexity and information theories to investigate the variations of SARS-CoV-2 genome between different states in the USA for the first time. The results of our analysis showed that the fractal dimension and Shannon entropy of genome walk significantly change between different states. Based on these results, we can conclude that the SARS-CoV-2 genomic structure significantly changes between different states, which is resulted from the virus evolution. Therefore, developing a vaccine for SARS-CoV-2 is very challenging since it should be able to fight various structures of the virus in different states. © 2020

Název v anglickém jazyce

COMPLEXITY and INFORMATION-BASED ANALYSIS of the VARIATIONS of the SARS-COV-2 GENOME in the UNITED STATES of AMERICA (USA)

Popis výsledku anglicky

SARS-CoV-2 is a deadly virus that has affected human life since late 2019. Between all the countries that have reported the cases of patients with SARS-CoV-2 disease (COVID-19), the United States of America has the highest number of infected people and mortality rate. Since different states in the USA reported different numbers of patients and also death cases, analyzing the difference of SARS-CoV-2 between these states has great importance. Since the generated RNA walk from the SARS-CoV-2 genome includes complex random fluctuations that also contain information, in this study, we employ the complexity and information theories to investigate the variations of SARS-CoV-2 genome between different states in the USA for the first time. The results of our analysis showed that the fractal dimension and Shannon entropy of genome walk significantly change between different states. Based on these results, we can conclude that the SARS-CoV-2 genomic structure significantly changes between different states, which is resulted from the virus evolution. Therefore, developing a vaccine for SARS-CoV-2 is very challenging since it should be able to fight various structures of the virus in different states. © 2020

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Fractals

ISSN

0218-348X

e-ISSN

—

Svazek periodika

28

Číslo periodika v rámci svazku

7

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

10

Strana od-do

"Article number 2150023"

Kód UT WoS článku

000601256800028

EID výsledku v databázi Scopus

2-s2.0-85095426662