ArticleExpert review of vaccines2012
Predictions versus high-throughput experiments in T-cell epitope discovery: competition or synergy?
Article in Expert review of vaccines, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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.
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.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Analysis of peptide-SLA binding by establishing immortalized porcine alveolar macrophage cells with different SLA class II haplotypes.Veterinary research · 2018Article
- Computational prediction of vaccine potential epitopes and 3-dimensional structure of XAGE-1b for non-small cell lung cancer immunotherapy.Biomedical journal · 2018Article
- On the feasibility of mining CD8+ T cell receptor patterns underlying immunogenic peptide recognition.Immunogenetics · 2018Article
- The ADAMTS13Haematologica · 2017Article
- Host genotype and time dependent antigen presentation of viral peptides: predictions from theory.Scientific reports · 2017Article
- DynaDom: structure-based prediction of T cell receptor inter-domain and T cell receptor-peptide-MHC (class I) association angles.BMC structural biology · 2017Article
- T-cell epitopes predicted from the Nucleocapsid protein of Sin Nombre virus restricted to 30 HLA alleles common to the North American population.Bioinformation · 2017Article
- Human Leukocyte Antigen (HLA) Peptides Derived from Tumor Antigens Induced by Inhibition of DNA Methylation for Development of Drug-facilitated Immunotherapy.Molecular & cellular proteomics : MCP · 2016Article
- Integrated computational prediction and experimental validation identifies promiscuous T cell epitopes in the proteome ofMicrobial genomics · 2016Article
- T Cell Epitope Peptide Therapy for Allergic Diseases.Current allergy and asthma reports · 2016Review
- Sequence conservation analysis and in silico human leukocyte antigen-peptide binding predictions for the Mtb72F and M72 tuberculosis candidate vaccine antigens.BMC immunology · 2015Article
- Immunoregulatory T cell epitope peptides: the new frontier in allergy therapy.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2015Review
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.
Funding
Abstract
Prediction methods as well as experimental methods for T-cell epitope discovery have developed significantly in recent years. High-throughput experimental methods have made it possible to perform full-length protein scans for epitopes restricted to a limited number of MHC alleles. The high costs and limitations regarding the number of proteins and MHC alleles that are feasibly handled by such experimental methods have made in silico prediction models of high interest. MHC binding prediction methods are today of a very high quality and can predict MHC binding peptides with high accuracy. This is possible for a large range of MHC alleles and relevant length of binding peptides. The predictions can easily be performed for complete proteomes of any size. Prediction methods are still, however, dependent on good experimental methods for validation, and should merely be used as a guide for rational epitope discovery. We expect prediction methods as well as experimental validation methods to continue to develop and that we will soon see clinical trials of products whose development has been guided by prediction methods.
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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.