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Subash C Pakhrin

Showing results (1-10 of 6) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|June 13, 2022
Deep Learning-Based Advances In Protein Posttranslational Modification Site and Protein Cleavage PredictionSubash C Pakhrin, Suresh Pokharel, Hiroto Saigo, et al.
International Journal of Molecular Sciences|June 2, 2021
Deep Learning-Based Advances in Protein Structure PredictionSubash C Pakhrin, Bikash Shrestha, Badri Adhikari, et al.
Molecules (Basel, Switzerland)|December 10, 2021
DeepNGlyPred: A Deep Neural Network-Based Approach for Human N-Linked Glycosylation Site PredictionSubash C Pakhrin, Kiyoko F Aoki-Kinoshita, Doina Caragea, et al.
Bioinformatics Advances|September 8, 2025
Multimodal deep learning for predicting protein ubiquitination sitesSubash C Pakhrin, Moriah R Beck, Punjan Subedi, et al.
Journal of Proteome Research|July 17, 2023
LMPhosSite: A Deep Learning-Based Approach for General Protein Phosphorylation Site Prediction Using Embeddings from the Local Window Sequence and Pretrained Protein Language ModelSubash C Pakhrin, Suresh Pokharel, Pawel Pratyush, et al.
Glycobiology|April 17, 2023
LMNglyPred: prediction of human N-linked glycosylation sites using embeddings from a pre-trained protein language modelSubash C Pakhrin, Suresh Pokharel, Kiyoko F Aoki-Kinoshita, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Methods in Molecular Biology (Clifton, N.J.)|June 13, 2022
Deep Learning-Based Advances In Protein Posttranslational Modification Site and Protein Cleavage PredictionSubash C Pakhrin, Suresh Pokharel, Hiroto Saigo, et al.
International Journal of Molecular Sciences|June 2, 2021
Deep Learning-Based Advances in Protein Structure PredictionSubash C Pakhrin, Bikash Shrestha, Badri Adhikari, et al.
Molecules (Basel, Switzerland)|December 10, 2021
DeepNGlyPred: A Deep Neural Network-Based Approach for Human N-Linked Glycosylation Site PredictionSubash C Pakhrin, Kiyoko F Aoki-Kinoshita, Doina Caragea, et al.
Bioinformatics Advances|September 8, 2025
Multimodal deep learning for predicting protein ubiquitination sitesSubash C Pakhrin, Moriah R Beck, Punjan Subedi, et al.
Journal of Proteome Research|July 17, 2023
LMPhosSite: A Deep Learning-Based Approach for General Protein Phosphorylation Site Prediction Using Embeddings from the Local Window Sequence and Pretrained Protein Language ModelSubash C Pakhrin, Suresh Pokharel, Pawel Pratyush, et al.
Glycobiology|April 17, 2023
LMNglyPred: prediction of human N-linked glycosylation sites using embeddings from a pre-trained protein language modelSubash C Pakhrin, Suresh Pokharel, Kiyoko F Aoki-Kinoshita, et al.
Pageof 1