Computational Prediction of the Comprehensive SARS-CoV-2 vs. Human Interactome to Guide the Design of Therapeutics

Kevin Dick; Kyle K Biggar; James R Green

While the putative interaction between the SARS-CoV-2 Spike protein and human ACE2 receptor is a current focus of the research community, it is also valuable to develop a more holistic understanding of the possibly numerous 7 . CC-BY 4.0 International license author/funder. It is made available under a The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.03.29.014381 doi: bioRxiv preprint Rather than apply a globally defined decision threshold (i.e. top-k or minimum threshold), we automatically detected a highly conservative "knee" for each curve (the point of greatest rate of change) to delineate those rare high-scoring pairs from the remaining baseline ( Figure 4B ,E). The union of the n = 1210 predicted PIPE4 and SPRINT high confidence putative PPIs comprises only ∼0.42% of all possible pairs, and their intersection of n = 279 putative pairs comprises a highly conservative <0.098%. These data are tabulated in Table3, illustrated in Figure 5 , and plotted in Figure 4 .