Evidence map›Paper›PMID 33864532›Full record

ArticleJournal of molecular modeling2021

Multi-conformation representation of Mpro identifies promising candidates for drug repurposing against COVID-19.

Debarati Paul, Debadrita Basu, Shubhra Ghosh Dastidar

Abstract read
In one paragraph

Article in Journal of molecular modeling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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

3 authors.

Debarati PaulDivision of Bioinformatics, Bose Institute, P-1/12 CIT Scheme VII M, Kolkata, 700054, India.
Debadrita BasuDivision of Bioinformatics, Bose Institute, P-1/12 CIT Scheme VII M, Kolkata, 700054, India.
Shubhra Ghosh DastidarDivision of Bioinformatics, Bose Institute, P-1/12 CIT Scheme VII M, Kolkata, 700054, India. sgd@jcbose.ac.in.ORCID http://orcid.org/0000-0002-0692-8139

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 main protease (Mpro), one of the conserved proteins of the novel coronavirus is crucial for its replication and so is a very lucrative drug target. Till now, there is no drug molecule that has been convincingly identified as the inhibitor of the function of this protein. The current pandemic situation demands a shortcut to quickly reach to a lead compound or a drug, which may not be the best but might serve as an interim solution at least. Following this notion, the present investigation uses virtual screening to find a molecule which is alraedy approved as a drug for some other disease but could be repurposed to inhibit Mpro. The potential of the present method of work to identify such a molecule, which otherwise would have been missed out, lies in the fact that instead of just using the crystallographically identified conformation of the receptor's ligand binding pocket, molecular dynamics generated ensemble of conformations has been used. It implicitly included the possibilities of "induced-fit" and/or "population shift" mechanisms of ligand fitting. As a result, the investigation has not only identified antiviral drugs like ribavirin, ritonavir, etc., but it has also captured a wide variety of drugs for various other diseases like amrubicin, cangrelor, desmopressin, diosmin, etc. as the potent possibilities. Some of these ligands are versatile to form stable interactions with various different conformations of the receptor and therefore have been statistically surfaced in the investigation. Overall the investigation offers a wide range of compounds for further testing to confirm their scopes of applications to combat the COVID-19 pandemic.

Indexed as

COVID-19 Drug TreatmentDrug RepositioningCoronavirus 3C ProteasesDrug DiscoveryDrug Evaluation, PreclinicalHumansMolecular Dynamics SimulationProtein ConformationSARS-CoV-23C-like proteinase, SARS-CoV-2Coronavirus 3C ProteasesCOVID-19Molecular dynamicsMProVirtual screening

Identifiers

PMID33864532
PMCPMC8052536

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.