Evidence map›Paper›PMID 32708196›Full record

ArticleInternational journal of molecular sciences2020

A Comprehensive Mapping of the Druggable Cavities within the SARS-CoV-2 Therapeutically Relevant Proteins by Combining Pocket and Docking Searches as Implemented in Pockets 2.0.

Silvia Gervasoni, Giulio Vistoli, Carmine Talarico, Candida Manelfi, Andrea R Beccari, Gabriel Studer, Gerardo Tauriello, Andrew Mark Waterhouse, Torsten Schwede, Alessandro Pedretti

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
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  4. Progress of the "Molecular Informatics" Section in 2022.International journal of molecular sciences · 2023
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  5. Article
  6. Article
  7. Article
  8. Review
  9. Arabian journal of chemistry · 2022
    Article
  10. Article
  11. Article
  12. Drug repositioning: A bibliometric analysis.Frontiers in pharmacology · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Article
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  19. Review
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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.

Silvia GervasoniDipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, Via Mangiagalli, 25, I-20133 Milano, Italy.ORCID 0000-0002-5731-3396
Giulio VistoliDipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, Via Mangiagalli, 25, I-20133 Milano, Italy.
Carmine TalaricoDompé Farmaceutici SpA, Via Campo di Pile, I-67100 L'Aquila, Italy.ORCID 0000-0003-4789-0955
Candida ManelfiDompé Farmaceutici SpA, Via Campo di Pile, I-67100 L'Aquila, Italy.
Andrea R BeccariDompé Farmaceutici SpA, Via Campo di Pile, I-67100 L'Aquila, Italy.ORCID 0000-0001-6830-2695
Gabriel StuderBiozentrum, University of Basel, Klingelbergstrasse 50-70, CH-4056 Basel, Switzerland.
Gerardo TaurielloBiozentrum, University of Basel, Klingelbergstrasse 50-70, CH-4056 Basel, Switzerland.ORCID 0000-0002-5921-7007
Andrew Mark WaterhouseBiozentrum, University of Basel, Klingelbergstrasse 50-70, CH-4056 Basel, Switzerland.
Torsten SchwedeBiozentrum, University of Basel, Klingelbergstrasse 50-70, CH-4056 Basel, Switzerland.ORCID 0000-0003-2715-335X
Alessandro PedrettiDipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, Via Mangiagalli, 25, I-20133 Milano, Italy.ORCID 0000-0001-5916-2029

Funding

H2020-SC1-PHE-CORONAVIRUS-2020 101003551
6 · The paper itself

Abstract

(1) Background: Virtual screening studies on the therapeutically relevant proteins of the severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) require a detailed characterization of their druggable binding sites, and, more generally, a convenient pocket mapping represents a key step for structure-based in silico studies; (2) Methods: Along with a careful literature search on SARS-CoV-2 protein targets, the study presents a novel strategy for pocket mapping based on the combination of pocket (as performed by the well-known FPocket tool) and docking searches (as performed by PLANTS or AutoDock/Vina engines); such an approach is implemented by the Pockets 2.0 plug-in for the VEGA ZZ suite of programs; (3) Results: The literature analysis allowed the identification of 16 promising binding cavities within the SARS-CoV-2 proteins and the here proposed approach was able to recognize them showing performances clearly better than those reached by the sole pocket detection; and (4) Conclusions: Even though the presented strategy should require more extended validations, this proved successful in precisely characterizing a set of SARS-CoV-2 druggable binding pockets including both orthosteric and allosteric sites, which are clearly amenable for virtual screening campaigns and drug repurposing studies. All results generated by the study and the Pockets 2.0 plug-in are available for download.

Indexed as

Antiviral AgentsBetacoronavirusBinding SitesCoronavirus InfectionsCOVID-19Drug RepositioningHumansMolecular Docking SimulationPandemicsPneumonia, ViralProtein BindingProtein ConformationSARS-CoV-2Viral ProteinsAntiviral AgentsViral Proteinsblind dockingdocking simulationspocket druggabilitypocket searchSARS-CoV-2virtual screening

Identifiers

PMID32708196
PMCPMC7403965

What OpenQuestion holds

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LicenceCC BY
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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.