Author: Vandelli, Andrea; Monti, Michele; Milanetti, Edoardo; Ponti, Riccardo Delli; Tartaglia, Gian Gaetano
Title: Structural analysis of SARS-CoV-2 and prediction of the human interactome Cord-id: 26n22jbx Document date: 2020_3_30
ID: 26n22jbx
Snippet: Specific elements of viral genomes regulate interactions within host cells. Here, we calculated the secondary structure content of>2500 coronaviruses and computed>100000 human protein interactions with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We found that the 3 and 5 prime ends are the most structured elements in the viral genome and the 5 prime end has the strongest propensity to associate with human proteins. The domain encompassing nucleotides 23000-24000 is highly conse
Document: Specific elements of viral genomes regulate interactions within host cells. Here, we calculated the secondary structure content of>2500 coronaviruses and computed>100000 human protein interactions with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We found that the 3 and 5 prime ends are the most structured elements in the viral genome and the 5 prime end has the strongest propensity to associate with human proteins. The domain encompassing nucleotides 23000-24000 is highly conserved both at the sequence and structural level, while the region upstream varies significantly. These two sequences code for a domain of the viral protein Spike S that interacts with the human receptor angiotensin-converting enzyme 2 (ACE2) and has the potential to bind sialic acids. Our predictions indicate that the first 1000 nucleotides in the 5 prime end can interact with proteins involved in viral RNA processing such as double-stranded RNA specific editases and ATP-dependent RNA-helicases, in addition to other high-confidence candidate partners. These interactions, previously reported to be also implicated in HIV, reveal important information on host-virus interactions. The list of transcriptional and post-transcriptional elements recruited by SARS-CoV-2 genome provides clues on the biological pathways associated with gene expression changes in human cells.
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