Evidence map›Paper›PMID 28670016›Full record

ArticleBulletin of the World Health Organization2017

Systematic analysis of protein identity between Zika virus and other arthropod-borne viruses.

Hsiao-Han Chang, Roland G Huber, Peter J Bond, Yonatan H Grad, David Camerini, Sebastian Maurer-Stroh, Marc Lipsitch

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

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

  1. Pooled it
  2. Pooled it
  3. Serological Evidence of Flavivirus Infection Among Mothers of Newborns in El Paso, Texas.Vector borne and zoonotic diseases (Larchmont, N.Y.) · 2025
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Paritaprevir as a pan-antiviral against different flaviviruses.Frontiers in molecular biosciences · 2025
    Article
  10. Article
  11. A survey of k-mer methods and applications in bioinformatics.Computational and structural biotechnology journal · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Serological cross-reactivity among common flaviviruses.Frontiers in cellular and infection microbiology · 2022
    Review
  19. Article
  20. Review
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

7 authors.

Hsiao-Han ChangDepartment of Epidemiology, Center for Communicable Disease Dynamics, Harvard TH Chan School of Public Health, 677 Huntington Ave, Boston, Massachusetts, 02115, United States of America (USA).
Roland G HuberBioinformatics Institute (BII), Agency for Science, Technology and Research (ASTAR), Singapore.
Peter J BondBioinformatics Institute (BII), Agency for Science, Technology and Research (ASTAR), Singapore.
Yonatan H GradDepartment of Immunology and Infectious Diseases, Harvard TH Chan School of Public Health, Boston, USA.
David CameriniAntigen Discovery Inc., Irvine, USA.
Sebastian Maurer-StrohBioinformatics Institute (BII), Agency for Science, Technology and Research (ASTAR), Singapore.
Marc LipsitchDepartment of Epidemiology, Center for Communicable Disease Dynamics, Harvard TH Chan School of Public Health, 677 Huntington Ave, Boston, Massachusetts, 02115, United States of America (USA).

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANAGE, WILLIAM · 2009 to 2018
$26.4M
INFECTIOUS DISEASE AND BASIC MICROBIOLOGICAL MECHANISMST32AI007061 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Marcia B Goldberg · 1985 to 2026
$12.1M
NIAID NIH HHS T32 AI007061NIGMS NIH HHS U54 GM088558
6 · The paper itself

Abstract

objectiveTo analyse the proportions of protein identity between Zika virus and dengue, Japanese encephalitis, yellow fever, West Nile and chikungunya viruses as well as polymorphism between different Zika virus strains.

methodsWe used published protein sequences for the Zika virus and obtained protein sequences for the other viruses from the National Center for Biotechnology Information (NCBI) protein database or the NCBI virus variation resource. We used BLASTP to find regions of identity between viruses. We quantified the identity between the Zika virus and each of the other viruses, as well as within-Zika virus polymorphism for all amino acid

findingsIn total, we identified 294 Zika virus protein fragments with both low proportion of identity with other viruses and low levels of polymorphisms among Zika virus strains. The list includes protein fragments from all Zika virus proteins, except NS3. NS4A has the highest number (190

conclusionWe provide a candidate list of protein fragments that could be used when developing a sensitive and specific serological test to detect previous Zika virus infections.

Indexed as

Databases, ProteinAnimalsChikungunya virusDengue VirusEncephalitis Virus, JapaneseFlavivirusHumansInsect VectorsPolymorphism, GeneticWest Nile virusYellow fever virusZika Virus

Identifiers

PMID28670016
PMCPMC5487971

What OpenQuestion holds

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LicenceCC BY
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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.