Evidence map›Paper›PMID 34962256›Full record

ArticleBriefings in bioinformatics2022

Computationally prioritized drugs inhibit SARS-CoV-2 infection and syncytia formation.

Angela Serra, Michele Fratello, Antonio Federico, Ravi Ojha, Riccardo Provenzani, Ervin Tasnadi, Luca Cattelani, Giusy Del Giudice, Pia A S Kinaret, Laura A Saarimäki and 9 more

Open access · hybridAbstract read
In one paragraph

Article in Briefings in bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. A Tale of Two Proteases: MPharmaceuticals (Basel, Switzerland) · 2023
    Review
  6. Article
  7. Nanomolar inhibition of SARS-CoV-2 infection by an unmodified peptide targeting the prehairpin intermediate of the spike protein.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  8. Review
  9. Article
  10. Nextcast: A software suite to analyse and model toxicogenomics data.Computational and structural biotechnology journal · 2022
    Article
  11. Review
  12. 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

19 authors at 4 institutions in 4 countries.

Angela SerraFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0002-3374-1492
Michele FratelloFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0002-3997-2339
Antonio FedericoFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0003-2554-9879
Ravi OjhaDepartment of Virology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-7876-4607
Riccardo ProvenzaniDrug Research Program, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-6780-1924
Ervin TasnadiSynthetic and Systems Biology Unit, Biological Research Centre, Eotvos Lorand Research Network, Szeged, Hungary.
Luca CattelaniFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0003-4852-2310
Giusy Del GiudiceFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0003-0999-4796
Pia A S KinaretFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0002-3312-5331
Laura A SaarimäkiFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0003-1996-286X
Alisa PavelFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0002-2983-0214
Suvi KuivanenDepartment of Virology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-2347-5397
Vincenzo CerulloDrug Research Program, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-4901-3796
Olli VapalahtiDepartment of Virology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-2270-6824
Peter HorvathInstitute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.
Antonio Di LietoDepartment of Forensic Psychiatry, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-0265-7554
Jari Yli-KauhaluomaDrug Research Program, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-0370-7653
Giuseppe BalistreriDepartment of Virology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-3585-559X
Dario GrecoFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.ORCID 0000-0001-9195-9003
University of Helsinki · FITampere University · FIAarhus University · DKHUN-REN Szegedi Biológiai Kutatóközpont · HU

Funding

Academy of FinlandChan Zuckerberg InitiativeEuropean Regional Development Fund GINOP-2.3.2-15-2016-00037Horizon 2020 814572Novo Nordisk Foundation 0066176
6 · The paper itself

Abstract

The pharmacological arsenal against the COVID-19 pandemic is largely based on generic anti-inflammatory strategies or poorly scalable solutions. Moreover, as the ongoing vaccination campaign is rolling slower than wished, affordable and effective therapeutics are needed. To this end, there is increasing attention toward computational methods for drug repositioning and de novo drug design. Here, multiple data-driven computational approaches are systematically integrated to perform a virtual screening and prioritize candidate drugs for the treatment of COVID-19. From the list of prioritized drugs, a subset of representative candidates to test in human cells is selected. Two compounds, 7-hydroxystaurosporine and bafetinib, show synergistic antiviral effects in vitro and strongly inhibit viral-induced syncytia formation. Moreover, since existing drug repositioning methods provide limited usable information for de novo drug design, the relevant chemical substructures of the identified drugs are extracted to provide a chemical vocabulary that may help to design new effective drugs.

Indexed as

COVID-19COVID-19 Drug TreatmentGiant CellsA549 CellsAntiviral AgentsComputational BiologyDrug Evaluation, PreclinicalDrug RepositioningHumansPyrimidinesSARS-CoV-2Staurosporine7-hydroxystaurosporineAntiviral AgentsbafetinibPyrimidinesStaurosporine7-hydroxystaurosporinebafetinibCOVID-19delta variantdrug designdrug repositioningkinase inhibitorsSARS-CoV-2syncytiavirtual screening

Identifiers

PMID34962256
PMCPMC8769897
OpenAlexW4226267224

What OpenQuestion holds

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Registered trials

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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.