Author
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5 papers
Recent·Most cited
Çağlar Bozkurt, Evangelia Nathanail, Aniruddh Goteti
A prediction-guided FGF21 construct with a longer C-terminus gave less protein than the literature design yet concentrated to 1.4 mg/mL versus 0.7 mg/mL (n = 1).
bioRxiv · Jul 14, 2026 · PreprintBioengineering✦ In-depth digest
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.
bioRxiv · Nov 10, 2025 · PreprintBioinformatics
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.
bioRxiv · Oct 3, 2025 · PreprintBioinformatics
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.
bioRxiv · Jun 21, 2025 · PreprintBioinformatics
Aniruddh Goteti, Çağlar Bozkurt
AstraPTM predicts 25 PTMs in a single pass using a transformer-based framework, achieving high accuracy and sensitivity for both common and rare modifications.
bioRxiv · Feb 20, 2025 · PreprintBioinformatics