Evidence map›Paper›PMID 36562668›Full record

ArticleBiomacromolecules2023

Dendrimer-Peptide Conjugates for Effective Blockade of the Interactions between SARS-CoV-2 Spike Protein and Human ACE2 Receptor.

Woo-Jin Jeong, Jiyoon Bu, Philip Mickel, Yanxiao Han, Piper A Rawding, Jianxin Wang, Hanbit Kang, Heejoo Hong, Petr Král, Seungpyo Hong

Open access · greenAbstract read
In one paragraph

Article in Biomacromolecules, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Sulfoglycodendron Antivirals with Scalable Architectures and Activities.Journal of chemical information and modeling · 2024
    Article
  5. Article
  6. Sulfoglycodendron Antivirals with Scalable Architectures and Activities.bioRxiv : the preprint server for biology · 2024
    Article
  7. Review
  8. Article
  9. 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

10 authors at 4 institutions in 2 countries.

Woo-Jin JeongPharmaceutical Sciences Division, The University of Wisconsin-Madison, 777 Highland Ave., Madison, Wisconsin 53705, United States.
Jiyoon BuPharmaceutical Sciences Division, The University of Wisconsin-Madison, 777 Highland Ave., Madison, Wisconsin 53705, United States.
Philip MickelDepartment of Chemistry, University of Illinois at Chicago, Chicago, Illinois 60607, United States.
Yanxiao HanDepartment of Chemistry, University of Illinois at Chicago, Chicago, Illinois 60607, United States.
Piper A RawdingPharmaceutical Sciences Division, The University of Wisconsin-Madison, 777 Highland Ave., Madison, Wisconsin 53705, United States.ORCID 0000-0002-9233-9700
Jianxin WangWisconsin Center for NanoBioSystems, The University of Wisconsin-Madison, 777 Highland Ave., Madison, Wisconsin 53705, United States.
Hanbit KangDepartment of Biological Sciences and Bioengineering, Inha University, 100 Inha-ro, Michuhol-gu, Incheon 22212, Korea.
Heejoo HongDepartment of Clinical Pharmacology & Therapeutics, Asan Medical Center, University of Ulsan, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Korea.
Petr KrálDepartment of Chemistry, University of Illinois at Chicago, Chicago, Illinois 60607, United States.ORCID 0000-0003-2992-9027
Seungpyo HongPharmaceutical Sciences Division, The University of Wisconsin-Madison, 777 Highland Ave., Madison, Wisconsin 53705, United States.ORCID 0000-0001-9870-031X
University of Wisconsin–Madison · USUniversity of Illinois Chicago · USAsan Medical Center · KRInha University · KR

Funding

Project 3: Modulation of the head and neck tumor immune microenvironment by targeting the TAM family of receptorsP50CA278595 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Jenny E. Gumperz · 2022 to 2026
$12.5M
Project 4: Role of Receptor Tyrosine Kinase AXL in HNSCC Therapy ResistanceP50DE026787 · NIDCR · UNIVERSITY OF WISCONSIN-MADISON · PI THIBEAULT, SUSAN LYNN · 2016 to 2020
$10.8M
NCI NIH HHS P50 CA278595NIDCR NIH HHS P50 DE026787
6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has threatened the stability of global healthcare, which is becoming an endemic issue. Despite the development of various treatment strategies to fight COVID-19, the currently available treatment options have shown varied efficacy. Herein, we have developed an avidity-based SARS-CoV-2 antagonist using dendrimer-peptide conjugates (DPCs) for effective COVID-19 treatment. Two different peptide fragments obtained from angiotensin-converting enzyme 2 (ACE2) were integrated into a single sequence, followed by the conjugation to poly(amidoamine) (PAMAM) dendrimers. We hypothesized that the strong multivalent binding avidity endowed by dendrimers would help peptides effectively block the interaction between SARS-CoV-2 and ACE2, and this antagonist effect would be dependent upon the generation (size) of the dendrimers. To assess this, binding kinetics of the DPCs prepared from generation 4 (G4) and G7 PAMAM dendrimers to spike protein of SARS-CoV-2 were quantitatively measured using surface plasmon resonance. The larger dendrimer-based DPCs exhibited significantly enhanced binding strength by 3 orders of magnitude compared to the free peptides, whereas the smaller one showed a 12.8-fold increase only. An

Indexed as

COVID-19DendrimersAngiotensin-Converting Enzyme 2COVID-19 Drug TreatmentHumansPeptidesPeptidyl-Dipeptidase AProtein BindingSARS-CoV-2Spike Glycoprotein, CoronavirusACE2 protein, humanAngiotensin-Converting Enzyme 2DendrimersPeptidesPeptidyl-Dipeptidase ASpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID36562668
PMCPMC9811402
OpenAlexW4312113438

What OpenQuestion holds

Textmetadata
LicenceTDM
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.