Evidence map›Paper›PMID 32544884›Full record

ArticleAging2020

Xiaoqiang Huang, Robin Pearce, Yang Zhang

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
2.5field-weighted citation impact, top 6% 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

73 citing papers in PubMed, 107 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. RSC medicinal chemistry · 2023
    Article
  9. Article
  10. Decoding CRISPR-Cas PAM recognition with UniDesign.Briefings in bioinformatics · 2023
    Article
  11. Identification of natural peptides from "PlantPepDB" database as anti-SARS-CoV-2 agents: A protein-protein docking approach.Phytomedicine plus : international journal of phytotherapy and phytopharmacology · 2023
    Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Effect of an Inhibitor on the ACE2-Receptor-Binding Domain of SARS-CoV-2.Journal of chemical information and modeling · 2022
    Article
  19. Review
  20. Article

13 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Xiaoqiang HuangDepartment of Computational Medicine and Bioinformatics, Ann Arbor, MI 48109, USA.
Robin PearceDepartment of Computational Medicine and Bioinformatics, Ann Arbor, MI 48109, USA.
Yang ZhangDepartment of Computational Medicine and Bioinformatics, Ann Arbor, MI 48109, USA.
University of Michigan–Ann Arbor · US

Funding

Structure-based functional annotation of microbial genomesR01AI134678 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lydia Petra Freddolino, SCOTT J. HULTGREN · 2018 to 2026
$6.5M
I-TASSER based atomic-level protein structure predictionR01GM083107 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2008 to 2019
$3.5M
Advanced approaches to protein structure predictionR35GM136422 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2020 to 2021
$946k
NIAID NIH HHS R01 AI134678NIGMS NIH HHS R01 GM083107NIGMS NIH HHS R35 GM136422
6 · The paper itself

Abstract

The outbreak of COVID-19 has now become a global pandemic that has severely impacted lives and economic stability. There is, however, no effective antiviral drug that can be used to treat COVID-19 to date. Built on the fact that SARS-CoV-2 initiates its entry into human cells by the receptor binding domain (RBD) of its spike protein binding to the angiotensin-converting enzyme 2 (hACE2), we extended a recently developed approach, EvoDesign, to design multiple peptide sequences that can competitively bind to the SARS-CoV-2 RBD to inhibit the virus from entering human cells. The protocol starts with the construction of a hybrid peptidic scaffold by linking two fragments grafted from the interface of the hACE2 protein (a.a. 22-44 and 351-357) with a linker glycine, which is followed by the redesign and refinement simulations of the peptide sequence to optimize its binding affinity to the interface of the SARS-CoV-2 RBD. The binding experiment analyses showed that the designed peptides exhibited a significantly stronger binding potency to hACE2 than the wild-type hACE2 receptor (with -53.35 vs. -46.46 EvoEF2 energy unit scores for the top designed and wild-type peptides, respectively). This study demonstrates a new avenue to utilize computationally designed peptide motifs to treat the COVID-19 disease by blocking the critical spike-RBD and hACE2 interactions.

Indexed as

Amino Acid SequenceAngiotensin-Converting Enzyme 2Antiviral AgentsBinding SitesCoronavirus InfectionsCOVID-19Drug DesignEvolution, MolecularHumansModels, MolecularPandemicsPeptidesPeptidyl-Dipeptidase APneumonia, ViralProtein BindingProtein ConformationACE2 protein, humanAngiotensin-Converting Enzyme 2Antiviral AgentsPeptidesPeptidyl-Dipeptidase ASpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2ACE2antiviral therapeuticCOVID-19peptideSARS-CoV-2

Identifiers

PMID32544884
PMCPMC7343451
OpenAlexW3034395518

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.