Evidence map›Paper›PMID 32913581›Full record

ArticleComputational and structural biotechnology journal2020

Unlocking COVID therapeutic targets: A structure-based rationale against SARS-CoV-2, SARS-CoV and MERS-CoV Spike.

João Trigueiro-Louro, Vanessa Correia, Inês Figueiredo-Nunes, Marta Gíria, Helena Rebelo-de-Andrade

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
0.9field-weighted citation impact, top 15% 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

27 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
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  4. The Potential Mechanisms of Arrhythmia in Coronavirus disease-2019.International journal of medical sciences · 2024
    Review
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  10. Article
  11. Review
  12. Review
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  15. Article
  16. Review
  17. Article
  18. Article
  19. Long Term Immune Response Produced by the SputnikV Vaccine.International journal of molecular sciences · 2021
    Article
  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

5 authors at 2 institutions in 1 country.

João Trigueiro-LouroAntiviral Resistance Lab, Research & Development Unit, Infectious Diseases Department, Instituto Nacional de Saúde Doutor Ricardo Jorge, IP, Av. Padre Cruz, 1649-016 Lisbon, Portugal.
Vanessa CorreiaAntiviral Resistance Lab, Research & Development Unit, Infectious Diseases Department, Instituto Nacional de Saúde Doutor Ricardo Jorge, IP, Av. Padre Cruz, 1649-016 Lisbon, Portugal.
Inês Figueiredo-NunesHost-Pathogen Interaction Unit, Research Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, Av. Professor Gama Pinto, 1649-003 Lisbon, Portugal.
Marta GíriaHost-Pathogen Interaction Unit, Research Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, Av. Professor Gama Pinto, 1649-003 Lisbon, Portugal.
Helena Rebelo-de-AndradeAntiviral Resistance Lab, Research & Development Unit, Infectious Diseases Department, Instituto Nacional de Saúde Doutor Ricardo Jorge, IP, Av. Padre Cruz, 1649-016 Lisbon, Portugal.
University of Lisbon · PTNational Institute of Health Dr. Ricardo Jorge · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are no approved target therapeutics against SARS-CoV-2 or other beta-CoVs. The beta-CoV Spike protein is a promising target considering the critical role in viral infection and pathogenesis and its surface exposed features. We performed a structure-based strategy targeting highly conserved druggable regions resulting from a comprehensive large-scale sequence analysis and structural characterization of Spike domains across SARSr- and MERSr-CoVs. We have disclosed 28 main consensus druggable pockets within the Spike. The RBD and SD1 (S1 subunit); and the CR, HR1 and CH (S2 subunit) represent the most promising conserved druggable regions. Additionally, we have identified 181 new potential hot spot residues for the hSARSr-CoVs and 72 new hot spot residues for the SARSr- and MERSr-CoVs, which have not been described before in the literature. These sites/residues exhibit advantageous structural features for targeted molecular and pharmacological modulation. This study establishes the Spike as a promising anti-CoV target using an approach with a potential higher resilience to resistance development and directed to a broad spectrum of Beta-CoVs, including the new SARS-CoV-2 responsible for COVID-19. This research also provides a structure-based rationale for the design and discovery of chemical inhibitors, antibodies or other therapeutic modalities successfully targeting the Beta-CoV Spike protein.

Indexed as

aa, amino acidACE2, angiotensin-converting enzyme2Bat-SL-CoVs, bat SARS-like coronavirusBetacoronavirusBeta-CoVs, betacoronavirusCC, conserved clusterCD, connector domainCDP, consensus druggable pocketCDR, consensus druggable residueCH, central helixCoronavirus diseaseCoVs, coronavirusCP, cytoplasmic domainCR, connecting regionCS, conservation scoreDGSS, DoGSiteScorerDPP4, dipeptidyl peptidase-4Druggability predictionFP, fusion peptideHR1, heptad repeat 1HR2, heptad repeat 2hSARSr-CoVs, human Severe acute respiratory syndrome-related coronavirusMERS-CoVs, middle east respiratory syndrome coronavirusMERSr-CoVs, middle east respiratory syndrome-related coronavirusMSA, multiple sequence alignmentNovel antiviral targetsNTD, N-terminal domainnts, nucleotidesPDB, Protein Data BankPDS, PockDrug-ServerRBD, Receptor-Binding DomainSARS-CoV-2SARS-CoV-2, severe acute respiratory syndrome coronavirus 2SARS-CoVs, severe acute respiratory syndrome coronavirusSARSr-CoVs, severe acute respiratory syndrome-related coronavirusSD1, subdomain 1SD2, subdomain 2Sequence conservationSF, SiteFinder from MOESpike proteinSP, small pocketS, SpikeSv, shorter variantTMPRSS2, transmembrane protease serine 2T-RHS, top-ranked hot spots

Identifiers

PMID32913581
PMCPMC7452956
OpenAlexW3046368432

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.