Evidence map›Paper›PMID 32605027›Full record

ReviewAntibodies (Basel, Switzerland)2020

Ribosome Display Technology: Applications in Disease Diagnosis and Control.

Adinarayana Kunamneni, Christian Ogaugwu, Steven Bradfute, Ravi Durvasula

Open access · goldAbstract readReview
In one paragraph

Review in Antibodies (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
  2. In Vitro Selection of Antibodies by Ribosome Display.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Review
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  10. Review
  11. Article
  12. Review
  13. Article
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  19. Cell-free Biosynthesis of Peptidomimetics.Biotechnology and bioprocess engineering : BBE · 2023
    Review
  20. Antiviral Drugs and Vaccines for Omicron Variant: A Focused Review.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2023
    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

4 authors at 3 institutions in 2 countries.

Adinarayana KunamneniDepartment of Medicine, Loyola University Medical Center, Chicago, IL 60153, USA.ORCID 0000-0002-9952-2209
Christian OgaugwuDepartment of Animal and Environmental Biology, Federal University Oye-Ekiti, Ekiti State 371010, Nigeria.
Steven BradfuteCenter for Global Health, Department of Internal Medicine, University of New Mexico, Albuquerque, NM 87131, USA.
Ravi DurvasulaDepartment of Medicine, Loyola University Medical Center, Chicago, IL 60153, USA.
Loyola University Medical Center · USFederal University Oye Ekiti · NGUniversity of New Mexico · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody ribosome display remains one of the most successful in vitro selection technologies for antibodies fifteen years after it was developed. The unique possibility of direct generation of whole proteins, particularly single-chain antibody fragments (scFvs), has facilitated the establishment of this technology as one of the foremost antibody production methods. Ribosome display has become a vital tool for efficient and low-cost production of antibodies for diagnostics due to its advantageous ability to screen large libraries and generate binders of high affinity. The remarkable flexibility of this method enables its applicability to various platforms. This review focuses on the applications of ribosome display technology in biomedical and agricultural fields in the generation of recombinant scFvs for disease diagnostics and control.

Indexed as

antibodiesdiagnosticsdisease controlribosome display

Identifiers

PMID32605027
PMCPMC7551589
OpenAlexW3037200267

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.