Evidence map›Paper›PMID 35223088›Full record

ArticleMolecular systems design & engineering2022

Thermodynamic and structural insights into the repurposing of drugs that bind to SARS-CoV-2 main protease.

Shunzhou Wan, Agastya P Bhati, Alexander D Wade, Dario Alfè, Peter V Coveney

Open access · hybridAbstract read
In one paragraph

Article in Molecular systems design & engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Accelerating COVID-19 Drug Discovery with High-Performance Computing.Methods in molecular biology (Clifton, N.J.) · 2024
    Review
  6. Ensemble-Based Approaches Ensure Reliability and Reproducibility.Journal of chemical information and modeling · 2023
    Article
  7. Article
  8. Pre-exascale HPC approaches for molecular dynamics simulations. Covid-19 research: A use case.Wiley interdisciplinary reviews. Computational molecular science · 2022
    Article
  9. 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 3 countries.

Shunzhou WanCentre for Computational Science, Department of Chemistry, University College London UK p.v.coveney@ucl.ac.uk.ORCID https://orcid.org/0000-0001-7192-1999
Agastya P BhatiCentre for Computational Science, Department of Chemistry, University College London UK p.v.coveney@ucl.ac.uk.ORCID https://orcid.org/0000-0003-4539-4819
Alexander D WadeCentre for Computational Science, Department of Chemistry, University College London UK p.v.coveney@ucl.ac.uk.ORCID https://orcid.org/0000-0003-1500-3733
Dario AlfèDepartment of Earth Sciences, London Centre for Nanotechnology and Thomas Young Centre at University College London, University College London UK.ORCID https://orcid.org/0000-0002-9741-8678
Peter V CoveneyCentre for Computational Science, Department of Chemistry, University College London UK p.v.coveney@ucl.ac.uk.ORCID https://orcid.org/0000-0002-8787-7256
University College London · GBLondon Centre for Nanotechnology · GB

Funding

Medical Research Council MR/L016311/1
6 · The paper itself

Abstract

Although researchers have been working tirelessly since the COVID-19 outbreak, so far only three drugs - remdesivir, ronapreve and molnupiravir - have been approved for use in some countries which directly target the SARS-CoV-2 virus. Given the slow pace and substantial costs of new drug discovery and development, together with the urgency of the matter, repurposing of existing drugs for the ongoing disease is an attractive proposition. In a recent study, a high-throughput X-ray crystallographic screen was performed for a selection of drugs which have been approved or are in clinical trials. Thirty-seven compounds have been identified from drug libraries all of which bind to the SARS-CoV-2 main protease (3CL

Identifiers

PMID35223088
PMCPMC8820189
OpenAlexW3215732541

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.