ArticleScientific reports2024
Prediction of linear B-cell epitopes based on protein sequence features and BERT embeddings.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Neutralizing epitope mapping for deltacoronavirus receptor-binding domain and seroepidemiological survey across different animal species.Virulence · 2026Article
- B-cell epitope prediction in the age of machine learning: advancements and challenges.Journal of translational medicine · 2026Review
- Computational identification of B- and T-cell epitopes: a unified task taxonomy and review of databases, datasets, predictive pipelines, and gaps.Frontiers in immunology · 2026Review
- BLMPred: Predicting linear B-cell epitopes using pre-trained protein language models and machine learning.Computational and structural biotechnology journal · 2026Article
- Multi-epitope vaccine targeting SARS-CoV-2 omicron S and N proteins promotes enhanced immunity: a computational approach.Frontiers in immunology · 2026Article
- Core genome analysis reveals novel drug and vaccine targets in multidrug-resistant Citrobacter koseri.Molecular genetics and genomics : MGG · 2025Article
- Immunoinformatics-based design of a next generation multi-epitope vaccine candidate against Shigella boydii using a hierarchical subtractive proteomics approach.Scientific reports · 2025Article
- Subtractive proteomic analysis to identify highly antigenic proteins and reverse vaccinology based novel vaccine development against Haemophillius parainfluenzae.Scientific reports · 2025Article
- Improving B-cell epitope prediction.Drug discovery today · 2025Review
- Computational Methods in Immunoinformatics: Epitope Discovery and Diagnostic Applications.ACS omega · 2025Review
- annATAC: automatic cell type annotation for scATAC-seq data based on language model.BMC biology · 2025Article
- Serum antibodies against mimotopes of Merkel cell polyomavirus oncoproteins detected by a novel immunoassay in healthy individuals and Merkel cell carcinoma patients.Microbial biotechnology · 2024Article
- Integrating machine learning to advance epitope mapping.Frontiers in immunology · 2024Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Linear B-cell epitopes (BCEs) play a key role in the development of peptide vaccines and immunodiagnostic reagents. Therefore, the accurate identification of linear BCEs is of great importance in the prevention of infectious diseases and the diagnosis of related diseases. The experimental methods used to identify BCEs are both expensive and time-consuming and they do not meet the demand for identification of large-scale protein sequence data. As a result, there is a need to develop an efficient and accurate computational method to rapidly identify linear BCE sequences. In this work, we developed the new linear BCE prediction method LBCE-BERT. This method is based on peptide chain sequence information and natural language model BERT embedding information, using an XGBoost classifier. The models were trained on three benchmark datasets. The model was training on three benchmark datasets for hyperparameter selection and was subsequently evaluated on several test datasets. The result indicate that our proposed method outperforms others in terms of AUROC and accuracy. The LBCE-BERT model is publicly available at: https://github.com/Lfang111/LBCE-BERT .
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