| Improving protein succinylation sites prediction using embeddings from protein language model S Pokharel, P Pratyush, M Heinzinger, RH Newman, DB Kc Scientific reports 12 (1), 16933, 2022 | 44 | 2022 |
| LMNglyPred: prediction of human N-linked glycosylation sites using embeddings from a pre-trained protein language model SC Pakhrin, S Pokharel, KF Aoki-Kinoshita, MR Beck, TK Dam, ... Glycobiology 33 (5), 411-422, 2023 | 22 | 2023 |
| LMPhosSite: a deep learning-based approach for general protein phosphorylation site prediction using embeddings from the local window sequence and pretrained protein language model SC Pakhrin, S Pokharel, P Pratyush, M Chaudhari, HD Ismail, DB Kc Journal of proteome research 22 (8), 2548-2557, 2023 | 18 | 2023 |
| Deep Learning–Based Advances In Protein Posttranslational Modification Site and Protein Cleavage Prediction SC Pakhrin, S Pokharel, H Saigo, DB Kc Computational Methods for Predicting Post-Translational Modification Sites …, 2022 | 18 | 2022 |
| pLMSNOSite: an ensemble-based approach for predicting protein S-nitrosylation sites by integrating supervised word embedding and embedding from pre-trained protein language model P Pratyush, S Pokharel, H Saigo, DB Kc BMC bioinformatics 24 (1), 41, 2023 | 16 | 2023 |
| Experimental study: deep learning-based fall monitoring among older adults with skin-wearable electronics Y Lee, S Pokharel, AA Muslim, DB Kc, KH Lee, WH Yeo Sensors 23 (8), 3983, 2023 | 15 | 2023 |
| Integrating Embeddings from Multiple Protein Language Models to Improve Protein O-GlcNAc Site Prediction S Pokharel, P Pratyush, HD Ismail, J Ma, DB Kc International Journal of Molecular Sciences 24 (21), 16000, 2023 | 12 | 2023 |
| DFT-aided machine learning-based discovery of magnetism in Fe-based bimetallic chalcogenides D Pant, S Pokharel, S Mandal, DB Kc, R Pati Scientific Reports 13 (1), 3277, 2023 | 7 | 2023 |
| CaLMPhosKAN: Prediction of General Phosphorylation Sites in Proteins via Fusion of Codon-Aware Embeddings with Amino Acid-Aware Embeddings and Wavelet-based Kolmogorov–Arnold … P Pratyush, C Carrier, S Pokharel, HD Ismail, M Chaudhari, DB KC bioRxiv, 2024.07. 30.605530, 2024 | 6 | 2024 |
| LMCrot: an enhanced protein crotonylation site predictor by leveraging an interpretable window-level embedding from a transformer-based protein language model P Pratyush, S Bahmani, S Pokharel, HD Ismail, DB Kc Bioinformatics 40 (5), btae290, 2024 | 5 | 2024 |
| NLP-based encoding techniques for prediction of post-translational modification sites and protein functions S Pokharel, E Sidorov, D Caragea, D B KC Machine Learning in Bioinformatics of Protein Sequences: Algorithms …, 2023 | 5 | 2023 |
| Deep learning based handwritten signature recognition S Pokharel, S Giri, S Shakya NCE Journal of Science and Engineering 1 (1), 21-24, 2020 | 5 | 2020 |
| Image quality assessment by integration of low-level & high-level features: threshold similarity index J Chaudhary, DR Pant, S Pokharel, JP Skön, J Heikkonen, R Kanth 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE), 135-141, 2022 | 4 | 2022 |
| Performance Evaluation of Convolutional Neural Network Using Synthetic Medical Data Augmentation Generated by GAN R Adhikari, S Pokharel International Journal of Image and Graphics 23 (01), 2350002, 2023 | 1 | 2023 |
| LMPTMSite: A Platform for PTM Site Prediction in Proteins Leveraging Transformer-Based Protein Language Models P Pratyush, S Pokharel, HD Ismail, S Bahmani, DB Kc Prediction of Protein Secondary Structure, 261-297, 2024 | | 2024 |
| pLM-DBPs: Enhanced DNA-Binding Protein Prediction in Plants Using Embeddings From Protein Language Models S Pokharel, K Barasa, P Pratyush, D Kc bioRxiv, 2024.10. 04.616755, 2024 | | 2024 |
| Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative T Bergquist, J Loomba, E Pfaff, F Xia, Z Zhao, Y Zhu, E Mitchell, ... EBioMedicine 108, 2024 | | 2024 |
| Scale Invariant Feature Transform(SIFT) Analysis and Visual Quality Evaluation of Super Resolution Image Generated by Generative Adversarial Network S Pokharel http://dx.doi.org/10.13140/RG.2.2.24998.40000, 2020 | | 2020 |
| CaLMPhosKAN: Prediction of General Phosphorylation Sites in Proteins via Fusion of Codon Aware Embeddings with Amino Acid Aware Embeddings and Wavelet-based Kolmogorov–Arnold … M Chaudhari, P Pratyush, KC Dukka, C Carrier, S Pokharel, H Ismail 2025 Joint Mathematics Meetings (JMM 2025), 0 | | |
Dukka KCProfessor and Chair, Rochester Institute of TechnologyEmail verificata su g.rit.edu