Fig. 3: BE-DICT accurately predicts base editing activities on endogenous genomic loci in HEK293T cells. | Nature Communications

Fig. 3: BE-DICT accurately predicts base editing activities on endogenous genomic loci in HEK293T cells.

From: Predicting base editing outcomes with an attention-based deep learning algorithm trained on high-throughput target library screens

Fig. 3

Endogenous genomic target sequences with at least two substrate nucleotides were targeted separately by co-transfection of the sgRNA and base editors a ABEmax, b CBE4max, c ABE8e, and d Target-AID. Heatmap shows the BE-DICT prediction score (green) and experimentally observed target base conversion (purple). Substrate bases for the respective base editor are outlined in bold. Pearson’s correlation (r) for all target bases is shown.

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