COMPLEXITY-BASED DETECTION of SIMILARITY between ANIMAL CORONAVIRUSES and SARS-CoV-2 in HUMANS
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F20%3A50017288" target="_blank" >RIV/62690094:18450/20:50017288 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.worldscientific.com/doi/abs/10.1142/S0218348X21500316" target="_blank" >https://www.worldscientific.com/doi/abs/10.1142/S0218348X21500316</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/S0218348X21500316" target="_blank" >10.1142/S0218348X21500316</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
COMPLEXITY-BASED DETECTION of SIMILARITY between ANIMAL CORONAVIRUSES and SARS-CoV-2 in HUMANS
Popis výsledku v původním jazyce
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the most dangerous type of coronavirus and has infected over 25.3 million people around the world (including causing 848,000 deaths). In this study, we investigated the similarity between the genome walks of coronaviruses in various animals and those of human SARS-CoV-2. Based on the results, although bats show a similar pattern of coronavirus genome walks to that of SARS-CoV-2 in humans, decoding the complex structure of coronavirus genome walks using sample entropy and fractal theory showed that the complexity of the pangolin coronavirus genome walk has a 94% match with the complexity of the SARS-CoV-2 genome walk in humans. This is the first reported study that found a similarity between the hidden characteristics of pangolin coronavirus and human SARS-CoV-2 using complexity-based analysis. The results of this study have great importance for the analysis of the origin and transfer of the virus. © 2020
Název v anglickém jazyce
COMPLEXITY-BASED DETECTION of SIMILARITY between ANIMAL CORONAVIRUSES and SARS-CoV-2 in HUMANS
Popis výsledku anglicky
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the most dangerous type of coronavirus and has infected over 25.3 million people around the world (including causing 848,000 deaths). In this study, we investigated the similarity between the genome walks of coronaviruses in various animals and those of human SARS-CoV-2. Based on the results, although bats show a similar pattern of coronavirus genome walks to that of SARS-CoV-2 in humans, decoding the complex structure of coronavirus genome walks using sample entropy and fractal theory showed that the complexity of the pangolin coronavirus genome walk has a 94% match with the complexity of the SARS-CoV-2 genome walk in humans. This is the first reported study that found a similarity between the hidden characteristics of pangolin coronavirus and human SARS-CoV-2 using complexity-based analysis. The results of this study have great importance for the analysis of the origin and transfer of the virus. © 2020
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10102 - Applied mathematics
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Fractals
ISSN
0218-348X
e-ISSN
—
Svazek periodika
28
Číslo periodika v rámci svazku
7
Stát vydavatele periodika
SG - Singapurská republika
Počet stran výsledku
11
Strana od-do
"Article Number: 2150031"
Kód UT WoS článku
000601256800029
EID výsledku v databázi Scopus
2-s2.0-85095827997