Evidence map›Paper›PMID 21772787›Full record

ReviewJournal of biomedicine & biotechnology2010

Emerging vaccine informatics.

Yongqun He, Rino Rappuoli, Anne S De Groot, Robert T Chen

Abstract readReview
In one paragraph

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 70 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

70 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  17. Review
  18. Prediction of Potential Drug Targets and Vaccine Candidates Against Antibiotic-ResistantInternational journal of peptide research and therapeutics · 2022
    Article
  19. Revisiting the Principles of Designing a Vaccine.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  20. Article

10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yongqun HeDepartment of Microbiology and Immunology, Unit for Laboratory Animal Medicine, Center for Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, 48109, USA. yongqunh@med.umich.edu
Rino Rappuoli
Anne S De Groot
Robert T Chen

Funding

Ontology-based Information Network to Support Vaccine ResearchR01AI081062 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HE, YONGQUN · 2009 to 2012
$1.1M
NIAID NIH HHS R01 AI081062NIAID NIH HHS R01AI081062
6 · The paper itself

Abstract

Vaccine informatics is an emerging research area that focuses on development and applications of bioinformatics methods that can be used to facilitate every aspect of the preclinical, clinical, and postlicensure vaccine enterprises. Many immunoinformatics algorithms and resources have been developed to predict T- and B-cell immune epitopes for epitope vaccine development and protective immunity analysis. Vaccine protein candidates are predictable in silico from genome sequences using reverse vaccinology. Systematic transcriptomics and proteomics gene expression analyses facilitate rational vaccine design and identification of gene responses that are correlates of protection in vivo. Mathematical simulations have been used to model host-pathogen interactions and improve vaccine production and vaccination protocols. Computational methods have also been used for development of immunization registries or immunization information systems, assessment of vaccine safety and efficacy, and immunization modeling. Computational literature mining and databases effectively process, mine, and store large amounts of vaccine literature and data. Vaccine Ontology (VO) has been initiated to integrate various vaccine data and support automated reasoning.

Indexed as

Computational BiologyAlgorithmsAntibodiesClinical Trials as TopicComputer SimulationDatabases, GeneticDrug DesignEpitopes, B-LymphocyteEpitopes, T-LymphocyteGene Expression ProfilingGenome, HumanHost-Pathogen InteractionsHumansModels, TheoreticalProteomeVaccinesAntibodiesEpitopes, B-LymphocyteEpitopes, T-LymphocyteProteomeVaccines

Identifiers

PMID21772787
PMCPMC3134832

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.