ReviewJournal of immunology research2016
An Introduction to B-Cell Epitope Mapping and In Silico Epitope Prediction.
Review in Journal of immunology research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 174 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
174 citing papers in PubMed, 370 citations in OpenAlex.
- Article
- Targeting Amastigote and Trypomastigote Phases: Multi-Epitope Vaccine Strategy Against Trypanosoma cruzi.Biotechnology and applied biochemistry · 2026Article
- MAXTIA: A high-throughput platform for rapid functional epitope mapping by kinetic screening of mutant libraries.Protein science : a publication of the Protein Society · 2026Article
- Detection and Genetic Diversity of Bovine Kobuvirus in Diarrheic Calves in Türkiye: Genomic Characterization and Comparative B-Cell Epitope Analysis.Animals : an open access journal from MDPI · 2026Article
- Article
- Immunodominant IgM Epitopes of theInternational journal of molecular sciences · 2026Article
- Immunoinformatics-based design of artificial chimeric proteins as universal vaccine candidates against foot-and-mouth disease virus serotypes A, O, and SAT2.Scientific reports · 2026Article
- MsgaBpred: A B-cell epitope predictor integrating AlphaFold3-predicted structures with multi-scale GCNs and pre-trained language model ESM-C.PLoS computational biology · 2026Article
- Clinical Serum-Anchored Computational Design Pipeline for a Broad-Spectrum Influenza Multi-Epitope mRNA Vaccine.Biology · 2026Article
- B-cell epitope prediction in the age of machine learning: advancements and challenges.Journal of translational medicine · 2026Review
- Viral emergence and pandemic preparedness in a One Health framework.Nature reviews. Microbiology · 2026Review
- Immunoproteomics: The Evolution from Classical Methods to Emerging Techniques.Methods in molecular biology (Clifton, N.J.) · 2026Review
- Article
- Optimized Multi-Epitope Norovirus Vaccines Induce Robust Humoral and Cellular Responses in Mice.Vaccines · 2025Article
- Monoclonal antibody preparation and linear epitope identification for the ASFV A151R protein.BMC veterinary research · 2025Article
- Identification and Characterization of Three Novel B-Cell Epitopes in African Swine Fever Virus p22 Protein.Microorganisms · 2025Article
- Improving B-cell epitope prediction.Drug discovery today · 2025Review
- Deep learning in next-generation vaccine development for infectious diseases.Molecular therapy. Nucleic acids · 2025Review
- Article
- Bioinformatics analysis of innovative multi-epitope vaccine utilizing MAGE-A, MAM-A, and Gal-3 for breast cancer management.Scientific reports · 2025Article
114 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identification of B-cell epitopes is a fundamental step for development of epitope-based vaccines, therapeutic antibodies, and diagnostic tools. Epitope-based antibodies are currently the most promising class of biopharmaceuticals. In the last decade, in-depth in silico analysis and categorization of the experimentally identified epitopes stimulated development of algorithms for epitope prediction. Recently, various in silico tools are employed in attempts to predict B-cell epitopes based on sequence and/or structural data. The main objective of epitope identification is to replace an antigen in the immunization, antibody production, and serodiagnosis. The accurate identification of B-cell epitopes still presents major challenges for immunologists. Advances in B-cell epitope mapping and computational prediction have yielded molecular insights into the process of biorecognition and formation of antigen-antibody complex, which may help to localize B-cell epitopes more precisely. In this paper, we have comprehensively reviewed state-of-the-art experimental methods for B-cell epitope identification, existing databases for epitopes, and novel in silico resources and prediction tools available online. We have also elaborated new trends in the antibody-based epitope prediction. The aim of this review is to assist researchers in identification of B-cell epitopes.
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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.