Emerging trends in post-translational modification: Shedding light on Glioblastoma multiforme

S Kumari, R Gupta, RK Ambasta, P Kumar - Biochimica et Biophysica Acta …, 2023 - Elsevier
Recent multi-omics studies, including proteomics, transcriptomics, genomics, and
metabolomics have revealed the critical role of post-translational modifications (PTMs) in the …

LMPhosSite: a deep learning-based approach for general protein phosphorylation site prediction using embeddings from the local window sequence and pretrained …

SC Pakhrin, S Pokharel, P Pratyush… - Journal of proteome …, 2023 - ACS Publications
Phosphorylation is one of the most important post-translational modifications and plays a
pivotal role in various cellular processes. Although there exist several computational tools to …

Post-translational modification prediction via prompt-based fine-tuning of a GPT-2 model

P Shrestha, J Kandel, H Tayara, KT Chong - Nature Communications, 2024 - nature.com
Post-translational modifications (PTMs) are pivotal in modulating protein functions and
influencing cellular processes like signaling, localization, and degradation. The complexity …

Brain-computer Interaction in the Smart Era

Z Yan, P Liu, H Zhou, J Zhang, S Liu, Y Xie… - Current Medical …, 2024 - Springer
The brain-computer interface (BCI) system serves as a critical link between external output
devices and the human brain. A monitored object's mental state, sensory cognition, and …

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

S Pokharel, P Pratyush, HD Ismail, J Ma… - International Journal of …, 2023 - mdpi.com
O-linked β-N-acetylglucosamine (O-GlcNAc) is a distinct monosaccharide modification of
serine (S) or threonine (T) residues of nucleocytoplasmic and mitochondrial proteins. O …

CaLMPhosKAN: Prediction of General Phosphorylation Sites in Proteins via Fusion of Codon Aware Embeddings with Amino Acid Aware Embeddings and Wavelet …

P Pratyush, C Carrier, S Pokharel, HD Ismail… - bioRxiv, 2024 - biorxiv.org
The mapping from codon to amino acid is surjective due to the high degeneracy of the
codon alphabet, suggesting that codon space might harbor higher information content …

[PDF][PDF] NCSP-PLM: An ensemble learning framework for predicting non-classical secreted proteins based on protein language models and deep learning

T Liu, C Song, C Wang - cancer, 2023 - aimspress.com
Non-classical secreted proteins (NCSPs) refer to a group of proteins that are located in the
extracellular environment despite the absence of signal peptides and motifs. They usually …

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) …

Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation

Z Li, M Li, L Zhu, W Zhang - Proceedings of the AAAI Conference on …, 2024 - ojs.aaai.org
Protein post-translational modification (PTM) site prediction is a fundamental task in
bioinformatics. Several computational methods have been developed to predict PTM sites …

PLM‐T3SE: Accurate Prediction of Type III Secretion Effectors Using Protein Language Model Embeddings

M Gao, C Song, T Liu - Journal of Cellular Biochemistry, 2024 - Wiley Online Library
The Type III secretion effectors (T3SEs) are bacterial proteins synthesized by Gram‐negative
pathogens and delivered into host cells via the Type III secretion system (T3SS). These …