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Pawel Pratyush

Showing results (1-10 of 13) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|November 14, 2024
Advances in Prediction of Posttranslational Modification Sites Known to Localize in Protein Supersecondary StructuresPawel Pratyush, Dukka B Kc
BMC Bioinformatics|February 9, 2023
pLMSNOSite: an ensemble-based approach for predicting protein S-nitrosylation sites by integrating supervised word embedding and embedding from pre-trained protein language modelPawel Pratyush, Suresh Pokharel, Hiroto Saigo, et al.
Bioinformatics (Oxford, England)|April 25, 2024
LMCrot: an enhanced protein crotonylation site predictor by leveraging an interpretable window-level embedding from a transformer-based protein language modelPawel Pratyush, Soufia Bahmani, Suresh Pokharel, et al.
International Journal of Molecular Sciences|November 14, 2023
Integrating Embeddings from Multiple Protein Language Models to Improve Protein <i>O</i>-GlcNAc Site PredictionSuresh Pokharel, Pawel Pratyush, Hamid D Ismail, et al.
Methods in Molecular Biology (Clifton, N.J.)|November 22, 2024
LMPTMSite: A Platform for PTM Site Prediction in Proteins Leveraging Transformer-Based Protein Language ModelsPawel Pratyush, Suresh Pokharel, Hamid D Ismail, et al.
Scientific Reports|October 8, 2022
Improving protein succinylation sites prediction using embeddings from protein language modelSuresh Pokharel, Pawel Pratyush, Michael Heinzinger, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 29, 2025
Multitask Learning-Based Approaches for Protein Function PredictionSoufia Bahmani, Meenal Chaudhari, Callen Carrier, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 2, 2025
Large Language Model (LLM)-Based Advances in Prediction of Post-translational Modification Sites in ProteinsPawel Pratyush, Suresh Pokharel, Stefan Schulze, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 29, 2025
Graph Neural Network-Based Approaches for Protein Function PredictionMeenal Chaudhari, Soufia Bahmani, Pawel Pratyush, et al.
Bioinformatics (Oxford, England)|March 21, 2025
CaLMPhosKAN: prediction of general phosphorylation sites in proteins via fusion of codon aware embeddings with amino acid aware embeddings and wavelet-based Kolmogorov-Arnold networkPawel Pratyush, Callen Carrier, Suresh Pokharel, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Methods in Molecular Biology (Clifton, N.J.)|November 14, 2024
Advances in Prediction of Posttranslational Modification Sites Known to Localize in Protein Supersecondary StructuresPawel Pratyush, Dukka B Kc
BMC Bioinformatics|February 9, 2023
pLMSNOSite: an ensemble-based approach for predicting protein S-nitrosylation sites by integrating supervised word embedding and embedding from pre-trained protein language modelPawel Pratyush, Suresh Pokharel, Hiroto Saigo, et al.
Bioinformatics (Oxford, England)|April 25, 2024
LMCrot: an enhanced protein crotonylation site predictor by leveraging an interpretable window-level embedding from a transformer-based protein language modelPawel Pratyush, Soufia Bahmani, Suresh Pokharel, et al.
International Journal of Molecular Sciences|November 14, 2023
Integrating Embeddings from Multiple Protein Language Models to Improve Protein <i>O</i>-GlcNAc Site PredictionSuresh Pokharel, Pawel Pratyush, Hamid D Ismail, et al.
Methods in Molecular Biology (Clifton, N.J.)|November 22, 2024
LMPTMSite: A Platform for PTM Site Prediction in Proteins Leveraging Transformer-Based Protein Language ModelsPawel Pratyush, Suresh Pokharel, Hamid D Ismail, et al.
Scientific Reports|October 8, 2022
Improving protein succinylation sites prediction using embeddings from protein language modelSuresh Pokharel, Pawel Pratyush, Michael Heinzinger, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 29, 2025
Multitask Learning-Based Approaches for Protein Function PredictionSoufia Bahmani, Meenal Chaudhari, Callen Carrier, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 2, 2025
Large Language Model (LLM)-Based Advances in Prediction of Post-translational Modification Sites in ProteinsPawel Pratyush, Suresh Pokharel, Stefan Schulze, et al.
Methods in Molecular Biology (Clifton, N.J.)|July 29, 2025
Graph Neural Network-Based Approaches for Protein Function PredictionMeenal Chaudhari, Soufia Bahmani, Pawel Pratyush, et al.
Bioinformatics (Oxford, England)|March 21, 2025
CaLMPhosKAN: prediction of general phosphorylation sites in proteins via fusion of codon aware embeddings with amino acid aware embeddings and wavelet-based Kolmogorov-Arnold networkPawel Pratyush, Callen Carrier, Suresh Pokharel, et al.
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