ASOFormer: a Transformer-based model for predicting antisense oligonucleotide efficacy to support therapeutic candidate prioritization
Nicholas C. Dove, Yuhao Min, Özkan İş, Nilüfer Ertekin, Daniel P. Wickland, Xue Wang
ASOFormer predicts ASO efficacy using sequence, structure, and modification features, outperforming existing methods in accuracy and candidate prioritization.
bioRxiv · Sep 24, 2026 · PreprintBioinformatics