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3 papers
Recent·Most cited
Aniruddh Goteti, Alexandra Vasilyeva, Çağlar Bozkurt
AstraBIND predicts ligand binding sites using a graph attention network, achieving high accuracy across multiple ligand classes while maintaining efficiency.
Çağlar Bozkurt, Alexandra Vasilyeva, Aniruddh Goteti
AstraPTM2 predicts 39 PTM types on full-length proteins using a transformer model with structural and sequence features, achieving high AUROC and macro-F1 scores.
Çağlar Bozkurt, Alexandra Vasilyeva, Aniruddh Goteti
The paper introduces two transformer-based models for multi-task protein function annotation, achieving high performance on various functional labels.