Leveraging transformers‐based language models in proteome bioinformatics

NQK Le - Proteomics, 2023 - Wiley Online Library
In recent years, the rapid growth of biological data has increased interest in using
bioinformatics to analyze and interpret this data. Proteomics, which studies the structure …

Current computational tools for protein lysine acylation site prediction

Z Qin, H Ren, P Zhao, K Wang, H Liu… - Briefings in …, 2024 - academic.oup.com
As a main subtype of post-translational modification (PTM), protein lysine acylations (PLAs)
play crucial roles in regulating diverse functions of proteins. With recent advancements in …

[HTML][HTML] Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining

WE Djeddi, K Hermi, S Ben Yahia, G Diallo - BMC bioinformatics, 2023 - Springer
Background The pharmaceutical field faces a significant challenge in validating drug target
interactions (DTIs) due to the time and cost involved, leading to only a fraction being …

MSTL-Kace: Prediction of Prokaryotic Lysine Acetylation Sites Based on Multistage Transfer Learning Strategy

GA Wang, X Yan, X Li, Y Liu, J Xia, X Zhu - ACS omega, 2023 - ACS Publications
As one of the most important post-translational modifications (PTM), lysine acetylation
(Kace) plays an important role in various biological activities. Traditional experimental …

[HTML][HTML] DLC-ac4C: a prediction model for N4-acetylcytidine sites in human mRNA based on DenseNet and bidirectional LSTM methods

J Jia, X Cao, Z Wei - Current Genomics, 2023 - ncbi.nlm.nih.gov
Aim To the best of our knowledge, although there are several computational methods for
ac4C locus prediction, the performance of the models they constructed is poor, and the …

[HTML][HTML] PEZy-Miner: An artificial intelligence driven approach for the discovery of plastic-degrading enzyme candidates

R Jiang, Z Yue, L Shang, D Wang, N Wei - Metabolic Engineering …, 2024 - Elsevier
Plastic waste has caused a global environmental crisis. Biocatalytic depolymerization
mediated by enzymes has emerged as an efficient and sustainable alternative for plastic …

Fine-tuning protein embeddings for functional similarity evaluation

A Dickson, MRK Mofrad - Bioinformatics, 2024 - academic.oup.com
Results We find that for functional annotation of proteins, as represented by Gene Ontology
(GO) terms, direct fine-tuning of language models on a simple classification loss has an …

[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 …

Chromatin lysine acylation: On the path to chromatin homeostasis and genome integrity

F Chen, X He, W Xu, L Zhou, Q Liu, W Chen… - Cancer …, 2024 - Wiley Online Library
The fundamental role of cells in safeguarding the genome's integrity against DNA double‐
strand breaks (DSBs) is crucial for maintaining chromatin homeostasis and the overall …

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 …