Author: Alejandro Lopez-Rincon; Alberto Tonda; Lucero Mendoza-Maldonado; Eric Claassen; Johan Garssen; Aletta D. Kraneveld
Title: Accurate Identification of SARS-CoV-2 from Viral Genome Sequences using Deep Learning Document date: 2020_3_14
ID: c2lljdi7_53
Snippet: After deep learning analysis, we identify that the sequence TAGCACTCTC-255 CAAGGGTGTTC is exclusive for SARS-CoV-2 and shows a frequency of 100% in viral genomes available from different countries in the GISAID [37] and NCBI [22] . Using NC045512.2 as reference SARS-CoV-2 sequence, we identify this unique sequence is located from 25604 to 25624 nucleotides in ORF3a gene. In SARS-CoV, this gene encodes a protein of 274 aa, that is related with 260.....
Document: After deep learning analysis, we identify that the sequence TAGCACTCTC-255 CAAGGGTGTTC is exclusive for SARS-CoV-2 and shows a frequency of 100% in viral genomes available from different countries in the GISAID [37] and NCBI [22] . Using NC045512.2 as reference SARS-CoV-2 sequence, we identify this unique sequence is located from 25604 to 25624 nucleotides in ORF3a gene. In SARS-CoV, this gene encodes a protein of 274 aa, that is related with 260 necrotic cell death [38] , chemokine production, inflammatory response [39] and may play an important role in virus life cycle [40] . With this information, we design a specific primer set for detection of SARS-CoV-2 using Primer3plus [41] .
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