Author: Kevin Dick; Kyle K Biggar; James R Green
Title: Computational Prediction of the Comprehensive SARS-CoV-2 vs. Human Interactome to Guide the Design of Therapeutics Document date: 2020_3_31
ID: dxabs45r_64
Snippet: The COVID-19 pandemic has led to catastrophic loss of life and the necessity to implement quarantines globally to contain the virus' propagation. In order to reduce the transmission of the virus between people, three strategies can be used: wide-spread vaccination (only available in ∼12-18 months), wide-spread use of anti-viral medication (available within months), and social distancing (immediately applicable, though highly disruptive). This p.....
Document: The COVID-19 pandemic has led to catastrophic loss of life and the necessity to implement quarantines globally to contain the virus' propagation. In order to reduce the transmission of the virus between people, three strategies can be used: wide-spread vaccination (only available in ∼12-18 months), wide-spread use of anti-viral medication (available within months), and social distancing (immediately applicable, though highly disruptive). This paper focuses on the second strategy by using algorithms to study the novel coronavirus and to help the research community identify new ways to disrupt the virus.
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