Evidence map›Paper›PMID 30564232›Full record

ReviewFrontiers in immunology2018

Proteomics, Bioinformatics and Structure-Function Antigen Mining For Gonorrhea Vaccines.

Benjamin I Baarda, Fabian G Martinez, Aleksandra E Sikora

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
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

17 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Discovery and characterization of an anti-Frontiers in microbiology · 2026
    Article
  6. Review
  7. Clinical microbiology reviews · 2024
    Review
  8. Article
  9. Article
  10. Evaluation ofInfection and drug resistance · 2023
    Article
  11. Review
  12. Article
  13. Sexually TransmittedMedicines (Basel, Switzerland) · 2021
    Review
  14. Article
  15. Article
  16. Article
  17. Article
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

3 authors at 2 institutions in 1 country.

Benjamin I BaardaDepartment of Pharmaceutical Sciences, College of Pharmacy, Oregon State University, Corvallis, OR, United States.
Fabian G MartinezDepartment of Pharmaceutical Sciences, College of Pharmacy, Oregon State University, Corvallis, OR, United States.
Aleksandra E SikoraDepartment of Pharmaceutical Sciences, College of Pharmacy, Oregon State University, Corvallis, OR, United States.
Oregon State University · USOregon Health & Science University · US

Funding

Proteomics-Driven Reverse Vaccinology for GonorrheaR01AI117235 · NIAID · OREGON STATE UNIVERSITY · PI Aleksandra Elzbieta Sikora · 2015 to 2026
$6.7M
NIAID NIH HHS R01 AI117235
6 · The paper itself

Abstract

Expanding efforts to develop preventive gonorrhea vaccines is critical because of the serious health consequences combined with the prevalence and the dire possibility of untreatable gonorrhea. Reverse vaccinology, which includes genome and proteome mining, has proven successful in the discovery of vaccine candidates against many pathogenic bacteria. Here, we describe proteomic applications including comprehensive, quantitative proteomic platforms and immunoproteomics coupled with broad-ranging bioinformatics that have been applied for antigen mining to develop gonorrhea vaccine(s). We further focus on outlining the vaccine candidate decision tree, describe the structure-function of novel proteome-derived antigens as well as ways to gain insights into their roles in the cell envelope, and underscore new lessons learned about the fascinating biology of

Indexed as

AnimalsAntigensBacterial VaccinesCell MembraneComputational BiologyGonorrheaHumansNeisseria gonorrhoeaeProteomeProteomicsStructure-Activity RelationshipAntigensBacterial VaccinesProteomeantigenbioinformaticsmembrane vesiclesNeisseria gonorrhoeaeprotein structure-functionproteomicsreverse vaccinologyvaccine

Identifiers

PMID30564232
PMCPMC6288298
OpenAlexW2902843473

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.