Extended Data Fig. 9: MYB family ADs and prediction performance of TADA on the ARF evolution dataset.

a, Histogram of all AD hits (defined as a PADI score of greater than or equal to 1 and from an IDR) from the MYB family. Each bar represents the number of ADs found in each 5% interval of the protein length. These results show that MYB ADs are enriched in the final 15% of tested TFs. b, Representative gating strategy for all PADI libraries. Yeast cells were gated based on size to exclude doublets (R1 and R3). Single cells were then gated to exclude those with mCherry signal below background (R4) when compared to mCherry negative cells. The mCherry-positive cells were then binned and sorted into twelve populations based on the GFP:mCherry ratio. c,Prediction performance of TADA, and the TADAΔARF variation. TADA performance on the PADI data test set and the ARF evolution dataset in terms of precision, recall, area under the receiver operating curve (AUC), accuracy, AUPR and F1 score. We further validated the generalization of TADA by retraining TADA on the original training dataset but withholding the ARF sequences (2,046 of the 70,937 sequences), which we called TADAΔARF. This approach prevents TADA from memorizing/overfitting ARF sequences. d, Prediction performance of TADA, PADDLE, ADPred, and the composition model in terms of area under the receiver operating curve (roc_auc), area under the precision recall curve (pr_auc), accuracy, F1 score, true positive rate (tpr), false positive rate (fpr), precision, and recall when tested on the ARF evolution dataset. Because each of these predictors subdivides sequences differently and used different fragment lengths for training, we compared their performance on full-length protein sequence from the evolution dataset.