Evidence map›Paper›PMID 33797868›Full record

ArticleChemMedChem2021

Inspecting the Mechanism of Fragment Hits Binding on SARS-CoV-2 M

Maicol Bissaro, Giovanni Bolcato, Matteo Pavan, Davide Bassani, Mattia Sturlese, Stefano Moro

Abstract read
In one paragraph

Article in ChemMedChem, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. P2YACS pharmacology & translational science · 2025
    Article
  5. Thermal Titration Molecular Dynamics: The Revenge of the Fragments.Journal of chemical information and modeling · 2025
    Article
  6. Article
  7. Fighting Antimicrobial Resistance: Insights on How theJournal of chemical information and modeling · 2023
    Article
  8. Article
  9. Review
  10. Article
  11. "Dual Anta-Inhibitors" of the APharmaceuticals (Basel, Switzerland) · 2023
    Article
  12. Bat coronaviruses related to SARS-CoV-2: what about their 3CL proteases (MPro)?Journal of enzyme inhibition and medicinal chemistry · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. 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

6 authors.

Maicol BissaroMolecular Modeling Section (MMS), Department of Pharmaceutical and Pharmacological Sciences, University of Padova, via Marzolo 5, 35131, Padova, Italy.
Giovanni BolcatoMolecular Modeling Section (MMS), Department of Pharmaceutical and Pharmacological Sciences, University of Padova, via Marzolo 5, 35131, Padova, Italy.
Matteo PavanMolecular Modeling Section (MMS), Department of Pharmaceutical and Pharmacological Sciences, University of Padova, via Marzolo 5, 35131, Padova, Italy.
Davide BassaniMolecular Modeling Section (MMS), Department of Pharmaceutical and Pharmacological Sciences, University of Padova, via Marzolo 5, 35131, Padova, Italy.
Mattia SturleseMolecular Modeling Section (MMS), Department of Pharmaceutical and Pharmacological Sciences, University of Padova, via Marzolo 5, 35131, Padova, Italy.
Stefano MoroMolecular Modeling Section (MMS), Department of Pharmaceutical and Pharmacological Sciences, University of Padova, via Marzolo 5, 35131, Padova, Italy.ORCID 0000-0002-7514-3802

Funding

AcelleraChemical Computing GroupFondazione Cariparo 55812MIUR 2017MT3993OpenEye
6 · The paper itself

Abstract

Computational approaches supporting the early characterization of fragment molecular recognition mechanism represent a valuable complement to more expansive and low-throughput experimental techniques. In this retrospective study, we have investigated the geometric accuracy with which high-throughput supervised molecular dynamics simulations (HT-SuMD) can anticipate the experimental bound state for a set of 23 fragments targeting the SARS-CoV-2 main protease. Despite the encouraging results herein reported, in line with those previously described for other MD-based posing approaches, a high number of incorrect binding modes still complicate HT-SuMD routine application. To overcome this limitation, fragment pose stability has been investigated and integrated as part of our in-silico pipeline, allowing us to prioritize only the more reliable predictions.

Indexed as

Molecular Dynamics SimulationBinding SitesCoronavirus M ProteinsCOVID-19Databases, ProteinHumansLigandsProtease InhibitorsRetrospective StudiesSARS-CoV-2Viral Matrix ProteinsCoronavirus M ProteinsLigandsmembrane protein, SARS-CoV-2Protease InhibitorsViral Matrix ProteinsFBDDMolecular DynamicsPosingSARS-CoV-2SBDD

Identifiers

PMID33797868
PMCPMC8250706

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.