Prediction of receptorome for human-infecting virome

Zheng Zhang; Sifan Ye; Aiping Wu; Taijiao Jiang; Yousong Peng

The copyright holder for this preprint (which was not peer-reviewed) is the . https: //doi.org/10.1101 //doi.org/10. /2020 possible that 2019-nCoV has alternative receptors. We investigated the prediction of the alternative receptors for 2019-nCoV. Lasso's study have predicted PPIs between 28 human cell membrane proteins which were members of receptorome of human-infecting viruses, and the spike protein of two coronaviruses, including Severe Acute Respiratory Syndrome-CoV and Middle East Respiratory Syndrome-CoV. We supposed that the 2019-nCoV is very likely to use these spike-interacting proteins as alternative receptors. These spike-interacting proteins were ranked by the score provided by the RF model (Figure 1 ). The expression levels of these spike-interacting proteins in 32 common human tissues were shown in Figure 1 . Most of them had high expressions than ACE2 in the lung, such as APP, EZR, CD4 and so on. (Lasso et al., 2019) . A variable number of human cell membrane proteins were predicted to interact with viral RBPs. To further select the potential receptors for viruses, both the LR and the RF model could be used to rank the viral RBP-interacting human cell membrane proteins. The RF model was found to rank the real receptors better than the LR in a small validation dataset, suggesting that the RF model may perform better than the LR in selecting the real receptors from the predicted RBP-interacting human cell membrane proteins.