Fig. 2

Overview of approach to predicting Nsp5 cleavage sites in human proteins. Three datasets of human protein sequences were analyzed by the NetCorona neural network. NetCorona assigned scores (0–1.0) to the 9 amino acid motif surrounding every glutamine residue in the datasets, where a score > 0.5 was inferred to be a possible cleavage site. PDB files associated with predicted cleaved proteins were analyzed using the Protein Structure and Interaction Analyzer (PSAIA) tool, which output the accessible surface area (ASA) of each predicted 9 amino acid cleavage motif. Proteins with highly predicted Nsp5 cleavage sites were then analyzed using STRING, which provided information on tissue expression, subcellular localization, and performed protein network analysis. Human proteins and molecular pathways of interest containing a predicted Nsp5 cleavage site were then flagged for potential physiological relevance