ArticleStatistics in medicine2018
Graph-based optimization of epitope coverage for vaccine antigen design.
Article in Statistics in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Epitope-optimized vaccine elicits enduring immunity against swine influenza A virus.Nature communications · 2025Article
- Emerging Frontiers in Colorectal Cancer Therapy: From Targeted Molecules to Immunomodulatory Breakthroughs and Cell-Based Approaches.Digestive diseases and sciences · 2025Review
- Design, Immunogenicity and Preclinical Efficacy of the ChAdOx1.COVconsv12 Pan-Sarbecovirus T-Cell Vaccine.Vaccines · 2024Article
- Immunogenicity and Protective Efficacy of Dose-Sparing Epigraph Vaccine against H3 Swine Influenza A Virus.Vaccines · 2024Article
- Review
- Multivalent Epigraph Hemagglutinin Vaccine Protects against Influenza B Virus in Mice.Pathogens (Basel, Switzerland) · 2024Article
- Quantification of heterogeneity in human CD8Frontiers in immunology · 2024Article
- Swine influenza A virus: challenges and novel vaccine strategies.Frontiers in cellular and infection microbiology · 2024Review
- Review
- Adenoviral-vectored epigraph vaccine elicits robust, durable, and protective immunity against H3 influenza A virus in swine.Frontiers in immunology · 2023Article
- An epitope-optimized human H3N2 influenza vaccine induces broadly protective immunity in mice and ferrets.NPJ vaccines · 2022Article
- Where to Next? Research Directions after the First Hepatitis C Vaccine Efficacy Trial.Viruses · 2021Review
- Review
- Epigraph hemagglutinin vaccine induces broad cross-reactive immunity against swine H3 influenza virus.Nature communications · 2021Article
- COVID-19 and SARS-CoV-2. Modeling the present, looking at the future.Physics reports · 2020Review
- Adenoviral Vectors as Vaccines for Emerging Avian Influenza Viruses.Frontiers in immunology · 2020Review
- Review
- Vaccinations for Colorectal Cancer: Progress, Strategies, and Novel Adjuvants.International journal of molecular sciences · 2019Review
- Balancing sensitivity and specificity in distinguishing TCR groups by CDR sequence similarity.BMC bioinformatics · 2019Article
- Graph-based optimization of epitope coverage for vaccine antigen design.Statistics in medicine · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Epigraph is a recently developed algorithm that enables the computationally efficient design of single or multi-antigen vaccines to maximize the potential epitope coverage for a diverse pathogen population. Potential epitopes are defined as short contiguous stretches of proteins, comparable in length to T-cell epitopes. This optimal coverage problem can be formulated in terms of a directed graph, with candidate antigens represented as paths that traverse this graph. Epigraph protein sequences can also be used as the basis for designing peptides for experimental evaluation of immune responses in natural infections to highly variable proteins. The epigraph tool suite also enables rapid characterization of populations of diverse sequences from an immunological perspective. Fundamental distance measures are based on immunologically relevant shared potential epitope frequencies, rather than simple Hamming or phylogenetic distances. Here, we provide a mathematical description of the epigraph algorithm, include a comparison of different heuristics that can be used when graphs are not acyclic, and we describe an additional tool we have added to the web-based epigraph tool suite that provides frequency summaries of all distinct potential epitopes in a population. We also show examples of the graphical output and summary tables that can be generated using the epigraph tool suite and explain their content and applications. Published 2017. This article is a U.S. Government work and is in the public domain in the USA. Statistics in Medicine published by John Wiley & Sons Ltd.
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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.