Author
Rochester Institute of TechnologyORCID 0000-0002-4210-1200Unclaimed ORCID profile · follow to get notified of new preprints
4 papers
Recent·Most cited
Bhawana Prasain, Pawel Pratyush, Stefan Schulze, Dukka B. KC
TaHL-PTM improves PTM prediction by addressing tokenization issues in decoder-only PLMs, achieving better performance on residue-level tasks.
Fawad Ullah, Pawel Pratyush, KC Dukka, Stephen M. Techtmann
PLM-ICE predicts ice-binding proteins with high precision and sensitivity using ESM-2 embeddings and an MLP, outperforming existing methods in multiple metrics.
Pawel Pratyush, Callen Carrier, Suresh Pokharel…·Dukka B. KC
CaLMPhosKAN predicts phosphorylation sites by combining codon and amino acid embeddings with a wavelet-based KAN model, outperforming existing methods on independent test sets.
Suresh Pokharel, Kepha Barasa, Pawel Pratyush, Dukka B. KC
The paper develops pLM-DBPs, a tool for predicting DNA-binding proteins in plants using protein language model embeddings, achieving 83.8% MCC on an independent test set.