Publications

    2025
  1. CaLMPhosKAN: prediction of general phosphorylation sites in proteins via fusion of codon aware embeddings with amino acid aware embeddings and wavelet-based Kolmogorov–Arnold network. Pawel Pratyush, Callen Carrier, Suresh Pokharel, Hamid D Ismail, Meenal Chaudhary, and Dukka B. KC. Bioinformatics, (2025). journal

  2. 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, et al. EBioMedicine 108 (2024). journal

  3. 2024
  4. LMPTMSite: A Platform for PTM Site Prediction in Proteins Leveraging Transformer-Based Protein Language Models. Pawel Pratyush, Suresh Pokharel, Hamid D Ismail, Soufia Bahmani, and Dukka B KC Prediction of Protein Secondary Structure, Springer Nature, Vol:2867, PP: 261–297 book chapter

  5. LMCrot: an enhanced protein crotonylation site predictor by leveraging an interpretable window-level embedding from a transformer-based protein language model Pawel Pratyush, Soufia Bahmani, Suresh Pokharel, Hamid D Ismail, and Dukka B. KC. Bioinformatics, (2024). journal

  6. 2023
  7. Integrating Embeddings from Multiple Protein Language Models to Improve Protein O-GlcNAc Site Prediction . Suresh Pokharel, Pawel Pratyush, Hamid D Ismail, Junfeng Ma, and Dukka B. KC. International Journal of Molecular Sciences (IJMS), (2023). journal

  8. LMPhosSite: A Deep Learning-Based Approach for General Protein Phosphorylation Site Prediction Using Embeddings from the Local Window Sequence and Pretrained Protein Language Model. Subash C. Pakhrin, Suresh Pokharel, Pawel Pratyush, Meenal Chaudhari, Hamid D Ismail, and Dukka B. KC. Journal of Proteome Research, (2023). journal

  9. LMNglyPred: prediction of human N-linked glycosylation sites using embeddings from a pre-trained protein language model. Pakhrin Subash C., Pokharel Suresh, F Kiyoko, Beck Moriah R., Dam Tarun K., Caragea Doina, and Dukka B. KC. Glycobiology, (2023). journal

  10. Experimental Study: Deep Learning-Based Fall Monitoring among Older Adults with Skin-Wearable Electronics. Lee, Yongkuk, Suresh Pokharel, Asra Al Muslim, Dukka KC, Kyoung Hag Lee, and Woon-Hong Yeo. Sensors 2023, 23, 3983. journal

  11. DFT-aided machine learning-based discovery of magnetism in Fe-based bimetallic chalcogenides. Dharmendra Pant, Suresh Pokharel, Subhasish Mandal, Dukka B. KC, Ranjit Pati. Scientific Reports 13.1 (2023): 3277. journal

  12. pLMSNOSite: an ensemble-based approach for predicting protein S-nitrosylation sites by integrating supervised word embedding and embedding from pre-trained protein language model. Pawel Pratyush, Suresh Pokharel, Hiroto Saigo, Dukka B. KC. BMC bioinformatics 24.1 (2023): 41. journal

  13. NLP-based Encoding Techniques for Prediction of Post-translational Modification Sites and Protein Functions. Suresh Pokharel, Evgenii Sidorov, Doina Caragea, Dukka B KC. 2022 Computational Methods for Predicting Post-Translational Modification Sites, Springer Nature, Vol:2499, PP: 285–322 book chapter

  14. 2022
  15. Improving Protein Succinylation Sites Prediction Using Embeddings from Protein Language Model. Suresh Pokharel, Pawel Pratyush, Michael Heinzinger, Robert Newman, KC Dukka. Scientific Reports 12.1 (2022): 16933. journal

  16. Image Quality Assessment by Integration of Low-level & High-level Features: Threshold Similarity Index. Jatin Chaudhary, Dibakar Raj Pant, Suresh Pokharel, Jukka-Pekka Skön, Jukka Heikkonen, Rajeev Kanth. 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE) conference

  17. Deep Learning–Based Advances In Protein Posttranslational Modification Site and Protein Cleavage Prediction. Subash C Pakhrin #, Suresh Pokharel # , Hiroto Saigo, Dukka KC. 2022 Computational Methods for Predicting Post-Translational Modification Sites, Springer Nature, Vol:2499, PP: 285–322 book chapter ( #Equally contributing first authors)

  18. 2021
  19. Performance Evaluation of Convolutional Neural Network Using Synthetic Medical Data Augmentation Generated by GAN. Ramesh Adhikari and Suresh Pokharel . 2021 International Journal of Image and Graphics, 2350002 journal

  20. 2020
  21. Deep learning based handwritten signature recognition. Suresh Pokharel, Santosh Giri, Subarna Shakya . 2020 NCE JOURNAL OF SCIENCE AND ENGINEERING (NJSE)" journal