Evidence map›Paper›PMID 25837467›Full record

ReviewCurrent opinion in virology2015

Computational tools for epitope vaccine design and evaluation.

Linling He, Jiang Zhu

Abstract readReview
In one paragraph

Review in Current opinion in virology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–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

37 citing papers in PubMed.

  1. Review
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  7. Molecular Mimicry Mapping inPathogens (Basel, Switzerland) · 2023
    Article
  8. Article
  9. Review
  10. COVID-19 Vaccines: Computational tools and Development.Informatics in medicine unlocked · 2023
    Review
  11. Article
  12. Intranasal administration of immunogenic poly-epitope fromIranian journal of basic medical sciences · 2021
    Article
  13. Review
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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

2 authors.

Linling HeDepartment of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA.
Jiang ZhuDepartment of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA 92037, USA; Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA; Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA. Electronic address: jiang@scripps.edu.

Funding

Support Component D/Vaccine Discovery, Concept to ClinicUM1AI100663 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI BAROUCH, DAN H. · 2012 to 2018
$131.5M
NIAID NIH HHS UM1 AI100663
6 · The paper itself

Abstract

Rational approaches will be required to develop universal vaccines for viral pathogens such as human immunodeficiency virus, hepatitis C virus, and influenza, for which empirical approaches have failed. The main objective of a rational vaccine strategy is to design novel immunogens that are capable of inducing long-term protective immunity. In practice, this requires structure-based engineering of the target neutralizing epitopes and a quantitative readout of vaccine-induced immune responses. Therefore, computational tools that can facilitate these two areas have played increasingly important roles in rational vaccine design in recent years. Here we review the computational techniques developed for protein structure prediction and antibody repertoire analysis, and demonstrate how they can be applied to the design and evaluation of epitope vaccines.

Indexed as

AnimalsAntigensComputational BiologyDrug DiscoveryEpitopesHumansImmunologic TechniquesProtein EngineeringVaccinesAntigensEpitopesVaccines

Identifiers

PMID25837467
PMCPMC4456225

What OpenQuestion holds

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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.