Evidence map›Paper›PMID 33936565›Full record

ReviewComputational and structural biotechnology journal2021

Targeting protein-protein interaction interfaces in COVID-19 drug discovery.

Chung-Ke Chang, Shan-Meng Lin, Roshan Satange, Shih-Chao Lin, Sin-Cih Sun, Hung-Yi Wu, Kylene Kehn-Hall, Ming-Hon Hou

Abstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Identification of Virus-Host Interactions.Advances in experimental medicine and biology · 2026
    Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Genome assembly ofFrontiers in plant science · 2024
    Article
  12. Article
  13. Cold spots are universal in protein-protein interactions.Protein science : a publication of the Protein Society · 2022
    Article
  14. AlphaFold, Artificial Intelligence (AI), and Allostery.The journal of physical chemistry. B · 2022
    Review
  15. SARS-CoV-2 Membrane Protein: From Genomic Data to Structural New Insights.International journal of molecular sciences · 2022
    Article
  16. Review
  17. Article
  18. Review
  19. Protein-protein interaction prediction with deep learning: A comprehensive review.Computational and structural biotechnology journal · 2022
    Review
  20. 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

8 authors.

Chung-Ke ChangTaiwan Biobank, Institute of Biomedical Sciences, Academia Sinica, Taipei 115, Taiwan.
Shan-Meng LinInstitute of Genomics and Bioinformatics, National Chung Hsing University, Taichung 402, Taiwan.
Roshan SatangeInstitute of Genomics and Bioinformatics, National Chung Hsing University, Taichung 402, Taiwan.
Shih-Chao LinBachelor Degree Program in Marine Biotechnology, National Taiwan Ocean University, Keelung 20224, Taiwan.
Sin-Cih SunInstitute of Genomics and Bioinformatics, National Chung Hsing University, Taichung 402, Taiwan.
Hung-Yi WuInstitute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung 40227, Taiwan.
Kylene Kehn-HallDepartment of Biomedical Sciences & Pathobiology, Virginia-Maryland College of Veterinary Medicine, Virginia Polytechnic Institute and State University, Virginia 24061, United States.
Ming-Hon HouInstitute of Genomics and Bioinformatics, National Chung Hsing University, Taichung 402, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To date, the COVID-19 pandemic has claimed over 1 million human lives, infected another 50 million individuals and wreaked havoc on the global economy. The crisis has spurred the ongoing development of drugs targeting its etiological agent, the SARS-CoV-2. Targeting relevant protein-protein interaction interfaces (PPIIs) is a viable paradigm for the design of antiviral drugs and enriches the targetable chemical space by providing alternative targets for drug discovery. In this review, we will provide a comprehensive overview of the theory, methods and applications of PPII-targeted drug development towards COVID-19 based on recent literature. We will also highlight novel developments, such as the successful use of non-native protein-protein interactions as targets for antiviral drug screening. We hope that this review may serve as an entry point for those interested in applying PPIIs towards COVID-19 drug discovery and speed up drug development against the pandemic.

Indexed as

Antiviral strategyCOVID-19Drug discoveryPPIIsSARS-CoV-2

Identifiers

PMID33936565
PMCPMC8064971

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.