ArticleFrontiers in immunology2019
Antibody Specific B-Cell Epitope Predictions: Leveraging Information From Antibody-Antigen Protein Complexes.
Article in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.
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Who cites it
79 citing papers in PubMed, 153 citations in OpenAlex.
- Article
- Pocket restraints guided by B-cell epitope prediction improve Chai-1 antibody-antigen structure modeling.Protein science : a publication of the Protein Society · 2026Article
- A novel monoclonal antibody targeting the hemagglutinin-neuraminidase of peste des petits ruminants virus maintains neutralizing activity by blocking viral adsorption and receptor interaction.Journal of virology · 2026Article
- Identification of a novel monoclonal antibody derived from the lumpy skin disease virus ORF123 that confers cross-binding and cross-neutralizing activity against Capripoxvirus members.Veterinary research · 2026Article
- Multi-epitope vaccine targeting SARS-CoV-2 omicron S and N proteins promotes enhanced immunity: a computational approach.Frontiers in immunology · 2026Article
- Pan-genome and reverse vaccinology for a multi-epitope vaccine against circulating post-2022 Monkeypox virus strains.PloS one · 2026Article
- Article
- Improving B-cell epitope prediction.Drug discovery today · 2025Review
- Immunoinformatic Prediction of HIV-1 Glycoprotein gp120 and Nef Epitopes Conjugated to HBsAg-Binding Protein (SBP) to Induce the Humoral and Cellular Immune Response.International journal of molecular sciences · 2025Article
- Surface displayed porcine epidemic diarrhea virus membrane epitopes onJournal of animal science and technology · 2025Article
- In Silico Development of a Chimeric Multi-Epitope Vaccine TargetingPharmaceuticals (Basel, Switzerland) · 2025Article
- AbEpiTope-1.0: Improved antibody target prediction by use of AlphaFold and inverse folding.Science advances · 2025Article
- Immunogenic mapping of potential epitopes from Tc-CTL-1 for the diagnosis of murine toxocariasis.Memorias do Instituto Oswaldo Cruz · 2025Article
- Linear B-cell epitope prediction for SARS and COVID-19 vaccine design: Integrating balanced ensemble learning models and resampling strategies.PeerJ. Computer science · 2025Article
- Interactions Between the Innate and Adaptive Immune Responses.Advances in experimental medicine and biology · 2025Review
- Immunoinformatic-driven design and evaluation of multi-epitope mRNA vaccine targeting HIV-1 gp120.Frontiers in immunology · 2025Article
- Article
- Computational prediction of multiple antigen epitopes.Bioinformatics (Oxford, England) · 2024Article
- Computational detection of antigen-specific B cell receptors following immunization.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Computational Methods to Predict Conformational B-Cell Epitopes.Biomolecules · 2024Review
19 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
Abstract
B-cells can neutralize pathogenic molecules by targeting them with extreme specificity using receptors secreted or expressed on their surface (antibodies). This is achieved via molecular interactions between the paratope (i.e., the antibody residues involved in the binding) and the interacting region (epitope) of its target molecule (antigen). Discerning the rules that define this specificity would have profound implications for our understanding of humoral immunogenicity and its applications. The aim of this work is to produce improved, antibody-specific epitope predictions by exploiting features derived from the antigens and their cognate antibodies structures, and combining them using statistical and machine learning algorithms. We have identified several geometric and physicochemical features that are correlated in interacting paratopes and epitopes, used them to develop a Monte Carlo algorithm to generate putative epitopes-paratope pairs, and train a machine-learning model to score them. We show that, by including the structural and physicochemical properties of the paratope, we improve the prediction of the target of a given B-cell receptor. Moreover, we demonstrate a gain in predictive power both in terms of identifying the cognate antigen target for a given antibody and the antibody target for a given antigen, exceeding the results of other available tools.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.