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_45
Snippet: Most excitingly, both the PIPE4 and SPRINT predictors scored the SARS-CoV-2 Spike protein vs. human ACE2 protein as the top-ranking prediction in their respective one-to-all score curves (P0DTC2-Q9BYF1) (PIPE4 SW score of 2.159, SPRINT score of 29.3515). As previously noted, this was achieved despite the removal of the known SARS-CoV Spike protein vs. ACE2 PPI within the training dataset. This finding corroborates related research reporting that .....
Document: Most excitingly, both the PIPE4 and SPRINT predictors scored the SARS-CoV-2 Spike protein vs. human ACE2 protein as the top-ranking prediction in their respective one-to-all score curves (P0DTC2-Q9BYF1) (PIPE4 SW score of 2.159, SPRINT score of 29.3515). As previously noted, this was achieved despite the removal of the known SARS-CoV Spike protein vs. ACE2 PPI within the training dataset. This finding corroborates related research reporting that SARS-CoV-2 can infect the human respiratory epithelial cells through interaction with the human ACE2 receptor [20] .
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