ReviewJournal of biomedicine & biotechnology2010
Benchmarking B-cell epitope prediction for the design of peptide-based vaccines: problems and prospects.
Review in Journal of biomedicine & biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 50 citations in OpenAlex.
- Review
- A Semi-Mechanistic Mathematical Model of Immune Tolerance Induction to Support Preclinical Studies of Human Monoclonal Antibodies in Rats.Pharmaceutics · 2025Article
- Protective IgM-mediated immunity againstFrontiers in immunology · 2025Article
- Proteomics-based vaccine targets annotation and design of subunit and mRNA-based vaccines for Monkeypox virus (MPXV) against the recent outbreak.Computers in biology and medicine · 2023Article
- Brewpitopes: a pipeline to refine B-cell epitope predictions during public health emergencies.Frontiers in immunology · 2023Article
- Current and prospective computational approaches and challenges for developing COVID-19 vaccines.Advanced drug delivery reviews · 2021Review
- Delineating Surface Epitopes of Lyme Disease Pathogen Targeted by Highly Protective Antibodies of New Zealand White Rabbits.Infection and immunity · 2019Article
- Identification of Surface Epitopes Associated with Protection against Highly Immune-Evasive VlsE-Expressing Lyme Disease Spirochetes.Infection and immunity · 2018Article
- A novel B- and helper T-cell epitopes-based prophylactic vaccine againstBioImpacts : BI · 2018Article
- Expressing Redundancy among Linear-Epitope Sequence Data Based on Residue-Level Physicochemical Similarity in the Context of Antigenic Cross-Reaction.Advances in bioinformatics · 2016Article
- Bioinformatics for cancer immunotherapy target discovery.Cancer immunology, immunotherapy : CII · 2014Review
- A mechanistic, multiscale mathematical model of immunogenicity for therapeutic proteins: part 2-model applications.CPT: pharmacometrics & systems pharmacology · 2014Article
- Article
- Benchmarking B-cell epitope prediction with quantitative dose-response data on antipeptide antibodies: towards novel pharmaceutical product development.BioMed research international · 2014Article
- OEP80, an essential protein paralogous to the chloroplast protein translocation channel Toc75, exists as a 70-kD protein in the Arabidopsis thaliana chloroplast outer envelope.Plant molecular biology · 2012Article
- On the meaning of affinity limits in B-cell epitope prediction for antipeptide antibody-mediated immunity.Advances in bioinformatics · 2012Article
- Requirements for empirical immunogenicity trials, rather than structure-based design, for developing an effective HIV vaccine.Archives of virology · 2012Review
- Impact of immunization technology and assay application on antibody performance--a systematic comparative evaluation.PloS one · 2011Article
- Prediction of B-cell linear epitopes with a combination of support vector machine classification and amino acid propensity identification.Journal of biomedicine & biotechnology · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To better support the design of peptide-based vaccines, refinement of methods to predict B-cell epitopes necessitates meaningful benchmarking against empirical data on the cross-reactivity of polyclonal antipeptide antibodies with proteins, such that the positive data reflect functionally relevant cross-reactivity (which is consistent with antibody-mediated change in protein function) and the negative data reflect genuine absence of cross-reactivity (rather than apparent absence of cross-reactivity due to artifactual masking of B-cell epitopes in immunoassays). These data are heterogeneous in view of multiple factors that complicate B-cell epitope prediction, notably physicochemical factors that define key structural differences between immunizing peptides and their cognate proteins (e.g., unmatched electrical charges along the peptide-protein sequence alignments). If the data are partitioned with respect to these factors, iterative parallel benchmarking against the resulting subsets of data provides a basis for systematically identifying and addressing the limitations of methods for B-cell epitope prediction as applied to vaccine design.
Indexed as
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.