COMPLEXITY-BASED DETECTION of SIMILARITY between ANIMAL CORONAVIRUSES and SARS-CoV-2 in HUMANS
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
COMPLEXITY-BASED DETECTION of SIMILARITY between ANIMAL CORONAVIRUSES and SARS-CoV-2 in HUMANS
Original language description
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
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Fractals
ISSN
0218-348X
e-ISSN
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Volume of the periodical
28
Issue of the periodical within the volume
7
Country of publishing house
SG - SINGAPORE
Number of pages
11
Pages from-to
"Article Number: 2150031"
UT code for WoS article
000601256800029
EID of the result in the Scopus database
2-s2.0-85095827997