Abstract
It has been observed by conducting an extensive analysis of the two-dimensional cellular automata images of known SARS-CoV genome sequences that the V-shaped cross-lines only exist in some special locations, and hence can be used as a fingerprint to identify the SARS sequences. Such a discovery can be used to rapidly and reliably diagnose SARS coronavirus for both basic research in laboratories and practical application in clinics.
Keywords: cellular automata images, sars, rna genomic, visualization analysis, v-shaped cross-line pattern, parallel slash-line pattern
Medicinal Chemistry
Title: A New Nucleotide-composition Based Fingerprint of SARS-CoV with Visualization Analysis
Volume: 1 Issue: 1
Author(s): Meng Wang, Jin-Song Yao, Zhen-De Huang, Zhi-Jie Xu, Guo-Ping Liu, Hai-Yong Zhao, Xue-Yong Wang, Jie Yang, Yi-Sheng Zhu and Kuo-Chen Chou
Affiliation:
Keywords: cellular automata images, sars, rna genomic, visualization analysis, v-shaped cross-line pattern, parallel slash-line pattern
Abstract: It has been observed by conducting an extensive analysis of the two-dimensional cellular automata images of known SARS-CoV genome sequences that the V-shaped cross-lines only exist in some special locations, and hence can be used as a fingerprint to identify the SARS sequences. Such a discovery can be used to rapidly and reliably diagnose SARS coronavirus for both basic research in laboratories and practical application in clinics.
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Cite this article as:
Wang Meng, Yao Jin-Song, Huang Zhen-De, Xu Zhi-Jie, Liu Guo-Ping, Zhao Hai-Yong, Wang Xue-Yong, Yang Jie, Zhu Yi-Sheng and Chou Kuo-Chen, A New Nucleotide-composition Based Fingerprint of SARS-CoV with Visualization Analysis, Medicinal Chemistry 2005; 1 (1) . https://dx.doi.org/10.2174/1573406053402505
DOI https://dx.doi.org/10.2174/1573406053402505 |
Print ISSN 1573-4064 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6638 |
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