Evidence map›Paper›PMID 30729435›Full record

ReviewMolecular biotechnology2019

Phage Display Libraries: From Binders to Targeted Drug Delivery and Human Therapeutics.

Mouldy Sioud

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
6.8field-weighted citation impact, top 3% 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

52 citing papers in PubMed, 96 citations in OpenAlex.

  1. Phage Display as a Promising Platform for Peptide Drug Discovery.Pharmaceuticals (Basel, Switzerland) · 2026
    Review
  2. Review
  3. Generation and Panning of a Naïve Human scFv Phage Display Library.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Isolation of Peptide Ligands for the HIV Capsid Protein p24 by Phage-Display.International journal of peptide research and therapeutics · 2025
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  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

1 author at 1 institution in 1 country.

Mouldy SioudDepartment of Cancer Immunology, Oslo University Hospital, The Norwegian Radium Hospital, Montebello, 0310, Oslo, Norway. Mouldy.Sioud@rr-research.no.
Oslo University Hospital · NO

Funding

Kreftforeningen 182593
6 · The paper itself

Abstract

The application of repertoire selection technologies for the study and characterization of tumor heterogeneity is an area of great interest in the field of tumor biology and immunotherapy. Among the most promising approaches, phage display has been successfully used to select peptides and antibody fragments to a variety of different targets, including cancer cells, immune cells and cytokines. Peptides selected from phage display have been used to guide the delivery of lytic peptides, cytotoxic drugs, and nanoparticles to cancer cells with the aim to obtain more efficient and less toxic therapeutics. Additionally, antibodies developed through phage display are being used in the treatment of autoimmune diseases and in some cases metastatic cancers. This review provides a short description of how phage libraries are designed, and highlights the conversion of the isolated binders into human therapeutics and use in targeted therapies.

Indexed as

Drug Delivery SystemsHumansImmunotherapyNanoparticlesNeoplasmsPeptide LibraryPeptidesPeptide LibraryPeptidesAffinity selectionAntibodiesBiomarkersDrug deliveryImmunotherapyPeptidesPhage displayTargeted therapies

Identifiers

PMID30729435
OpenAlexW2912320219

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.