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

P Pratyush, S Pokharel, H Saigo, DB Kc - BMC bioinformatics, 2023 - Springer
Abstract Background Protein S-nitrosylation (SNO) plays a key role in transferring nitric
oxide-mediated signals in both animals and plants and has emerged as an important …

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… - …, 2024 - academic.oup.com
Motivation Recent advancements in natural language processing have highlighted the
effectiveness of global contextualized representations from protein language models (pLMs) …

MFE-transformer: Adaptive English text named entity recognition method based on multi-feature extraction and transformer

L Gao - Computer Science and Information Systems, 2024 - doiserbia.nb.rs
English text named entity recognition aims to alleviate the problem of insufficient labeling
data in the target domain. Existing methods usually use feature representation or model …