Suresh Pokharel

Improving protein succinylation sites prediction using embeddings from protein language model

Dukka B Kc, M. Heinzinger, R. Newman, 2022, Scientific Reports.

DFT-aided machine learning-based discovery of magnetism in Fe-based bimetallic chalcogenides

Dukka B Kc, S. Mandal, R. Pati, 2023, Scientific Reports.

pLMSNOSite: an ensemble-based approach for predicting protein S-nitrosylation sites by integrating supervised word embedding and embedding from pre-trained protein language model

Hiroto Saigo, Pawel Pratyush, Suresh Pokharel, 2023, BMC Bioinformatics.

Experimental Study: Deep Learning-Based Fall Monitoring among Older Adults with Skin-Wearable Electronics

W. Yeo, K. Lee, Yongkuk Lee, 2023, Sensors.

LMPhosSite: A Deep Learning-Based Approach for General Protein Phosphorylation Site Prediction Using Embeddings from the Local Window Sequence and Pretrained Protein Language Model.

Hamid D. Ismail, Dukka B Kc, Meenal Chaudhari, 2023, Journal of proteome research.

Image Quality Assessment by Integration of Low-level & High-Level Features: Threshold Similarity Index

J. Heikkonen, J. Chaudhary, R. Kanth, 2022, 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE).

Integrating Embeddings from Multiple Protein Language Models to Improve Protein O-GlcNAc Site Prediction

Dukka B Kc, Junfeng Ma, Pawel Pratyush, 2023, International journal of molecular sciences.