ArticleNPJ systems biology and applications2024
EpiScan: accurate high-throughput mapping of antibody-specific epitopes using sequence information.
Article in NPJ systems biology and applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- PEPNet: a two-stage point cloud framework with hierarchical embedding and antigen-antibody interaction modeling for epitope prediction.Briefings in bioinformatics · 2026Article
- CoV-UniBind: a unified antibody binding database for SARS-CoV-2.Bioinformatics advances · 2026Article
- A robust and scalable immunoadsorbent platform based on the high-affinity M03-IgG antibody for targeted IL-6 Removal in cytokine storm.Frontiers in immunology · 2026Article
- Artificial intelligence in antibody design and development: harnessing the power of computational approaches.Medical & biological engineering & computing · 2025Review
- Article
- Identification of PD-1-PD-L1 blockade epitopes in vitro utilizing porcine immunoglobulin and heterologous Fc-fused protein.Veterinary research · 2025Article
- Improving B-cell epitope prediction.Drug discovery today · 2025Review
- A deep learning model for predicting systemic lupus erythematosus-associated epitopes.BMC medical informatics and decision making · 2025Article
- AbEpiTope-1.0: Improved antibody target prediction by use of AlphaFold and inverse folding.Science advances · 2025Article
- Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The identification of antibody-specific epitopes on virus proteins is crucial for vaccine development and drug design. Nonetheless, traditional wet-lab approaches for the identification of epitopes are both costly and labor-intensive, underscoring the need for the development of efficient and cost-effective computational tools. Here, EpiScan, an attention-based deep learning framework for predicting antibody-specific epitopes, is presented. EpiScan adopts a multi-input and single-output strategy by designing independent blocks for different parts of antibodies, including variable heavy chain (V
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Registered trials
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