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Article

Analysis the molecular similarity of least common amino acid sites in ACE2 receptor to predict the potential susceptible species for SARS-CoV-2

2023-10-16

Abstract excerpt

This research offers a bioinformatics approach to forecasting both domestic and wild animals’ likelihood of being susceptible to SARS-CoV-2 infection. Genomic sequencing can resolve phylogenetic relationships between the virus and the susceptible host. The genome sequence of SARS-CoV-2 is highly interactive with the specific sequence region of the ACE2 receptor of the host species. We further evaluate this concept...

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Identifiers and source

Literature Corpus work
59c55ef0-e8cc-50bf-a556-d4b21db397bc
DOI
10.1101/2023.10.13.562198
Open publication

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Analysis the molecular similarity of least common amino acid sites in ACE2 receptor to predict the potential susceptible species for SARS-CoV-2DOI 10.1101/2023.10.13.562198
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