Evidence map›Paper›PMID 35077010›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Protein Nanoparticles: Uniting the Power of Proteins with Engineering Design Approaches.

Nahal Habibi, Ava Mauser, Yeongun Ko, Joerg Lahann

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Surface-Capped Protein Nanoparticles for Nonviral Gene Delivery.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  11. Review
  12. Silk protein plastics for sustained and controlled drug release.International journal of pharmaceutics · 2026
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

4 authors.

Nahal HabibiBiointerfaces Institute, Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Ava MauserBiointerfaces Institute, Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Yeongun KoBiointerfaces Institute, Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Joerg LahannBiointerfaces Institute, Departments of Chemical Engineering, Material Science and Engineering, Biomedical Engineering, and Macromolecular Science and Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID 0000-0002-3334-2053

Funding

Defense Threat Reduction Agency #HDTRA1-15-0045National Science Foundation Graduate Research Fellowship DGE 1256260
6 · The paper itself

Abstract

Protein nanoparticles, PNPs, have played a long-standing role in food and industrial applications. More recently, their potential in nanomedicine has been more widely pursued. This review summarizes recent trends related to the preparation, application, and chemical construction of nanoparticles that use proteins as major building blocks. A particular focus has been given to emerging trends related to applications in nanomedicine, an area of research where PNPs are poised for major breakthroughs as drug delivery carriers, particle-based therapeutics or for non-viral gene therapy.

Indexed as

NanomedicineNanoparticlesDrug CarriersDrug Delivery SystemsProteinsDrug CarriersProteinsbiomimeticelectrosprayingnanomedicineprotein nanoparticleself-assembly

Identifiers

PMID35077010
PMCPMC8922121

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.