ArticleImmunome research2010
Recent advances in B-cell epitope prediction methods.
Article in Immunome research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
76 citing papers in PubMed.
- Pangenomics-Driven Reverse Vaccinology for the Discovery of New Vaccine Candidates AgainstBioinformatics and biology insights · 2026Article
- Is the reverse vaccinology idea becoming exhausted?Frontiers in immunology · 2026Review
- Improving B-cell epitope prediction.Drug discovery today · 2025Review
- Computational design of multi-epitope vaccine against Hepatitis C Virus infection using immunoinformatics techniques.PloS one · 2025Article
- Bioinformatics designing of an mRNA vaccine for Mokola virus (MOKV) using immunoinformatics as a secure strategy for successful vaccine development.BMC immunology · 2024Article
- B cell epitope prediction by capturing spatial clustering property of the epitopes using graph attention network.Scientific reports · 2024Article
- Exploring Bioinformatics Solutions for Improved Leishmaniasis Diagnostic Tools: A Review.Molecules (Basel, Switzerland) · 2024Review
- A computational approach to design a multiepitope vaccine against H5N1 virus.Virology journal · 2024Article
- Reverse vaccinology and immunoinformatics approach to design a chimeric epitope vaccine againstHeliyon · 2024Article
- Immunoinformatics analysis of Brucella melitensis to approach a suitable vaccine against brucellosis.Journal, genetic engineering & biotechnology · 2023Article
- Multi-perspectives and challenges in identifying B-cell epitopes.Protein science : a publication of the Protein Society · 2023Review
- Inferring linear-B cell epitopes using 2-step metaheuristic variant-feature selection using genetic algorithm.Scientific reports · 2023Article
- DL-TCNN: Deep Learning-based Temporal Convolutional Neural Network for prediction of conformational B-cell epitopes.3 Biotech · 2023Article
- Mapping antibody footprints using binding profiles.Cell reports methods · 2023Article
- Molecular insights into recognition of GUCY2C by T-cell engaging bispecific antibody anti-GUCY2CxCD3.Scientific reports · 2023Article
- Review
- Design of Linear B Cell Epitopes and Evaluation of Their Antigenicity, Allergenicity, and Toxicity: An Immunoinformatics Approach.Methods in molecular biology (Clifton, N.J.) · 2023Article
- DeepLBCEPred: A Bi-LSTM and multi-scale CNN-based deep learning method for predicting linear B-cell epitopes.Frontiers in microbiology · 2023Article
- Bioinformatics Designing and Molecular Modelling of a Universal mRNA Vaccine for SARS-CoV-2 Infection.Vaccines · 2022Article
- A Method for Screening Proteases That Can Specifically Hydrolyze the Epitope AA83-105 of αFoods (Basel, Switzerland) · 2022Article
16 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identification of epitopes that invoke strong responses from B-cells is one of the key steps in designing effective vaccines against pathogens. Because experimental determination of epitopes is expensive in terms of cost, time, and effort involved, there is an urgent need for computational methods for reliable identification of B-cell epitopes. Although several computational tools for predicting B-cell epitopes have become available in recent years, the predictive performance of existing tools remains far from ideal. We review recent advances in computational methods for B-cell epitope prediction, identify some gaps in the current state of the art, and outline some promising directions for improving the reliability of such methods.
Identifiers
What OpenQuestion holds
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.