Fig. 2
From: Systematic prediction of degrons and E3 ubiquitin ligase binding via deep learning
![Fig. 2](http://media.springernature.com/full/springer-static/image/art%3A10.1186%2Fs12915-022-01364-6/MediaObjects/12915_2022_1364_Fig2_HTML.png)
Degpred expands the degron landscape and assists in identifying degrons from motif matches. a A schematic diagram to illustrate the process of Degpred in predicting degrons, the dimensions of matrixes and vectors in the prediction process are labeled below. b Upper penal: Venn diagram showing the counts and overlap of Degpred degrons and ELM motif matches in the human proteome. Lower penal: distribution of Degpred scores of predicted degrons overlapped and not overlapped with ELM motif matches. The green vertical line represents the median score of overlapped degrons. c A schematic representation of how βTrCP binds substrates, di-phosphorylation on the motif match is necessary for the binding. Mammal genomes encode βTrCP1 and βTrCP2 that recognize the same degron motif [29], we did not distinguish them in our analysis. d Statistics of βTrCP motif matches overlapped with Degpred degrons (Degpred_TRCP, blue) or not overlapped with Degpred degrons (Other_TRCP, green). e Counts of phosphorylation sites occurring on Degpred_TRCP and Other_TRCP. P-value was calculated using the chi-square test. f Counts of Ub-sites occurring near Degpred_TRCP and Other_TRCP. P-value was calculated using Fischer's exact test. g Comparison of Degpred_TRCP and Other_TRCP containing proteins in BioID and AP-MS based high-throughput βTrCP substrates. P-values were calculated using Fischer’s exact test