Evidence map›Paper›PMID 35335283›Full record

ArticleMolecules (Basel, Switzerland)2022

Fullerenes against COVID-19: Repurposing C

Tainah Dorina Marforio, Edoardo Jun Mattioli, Francesco Zerbetto, Matteo Calvaresi

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Thiophene-based water-soluble CBiomaterials translational · 2025
    Article
  2. Review
  3. Development of Masitinib Derivatives with Enhanced MMolecules (Basel, Switzerland) · 2023
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Enhanced Uptake and Phototoxicity of CNanomaterials (Basel, Switzerland) · 2022
    Article
  9. Article
  10. Novel CMolecules (Basel, Switzerland) · 2022
    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

4 authors at 1 institution in 1 country.

Tainah Dorina MarforioDipartimento di Chimica "Giacomo Ciamician", Alma Mater Studiorum-Università di Bologna, Via Francesco Selmi 2, 40126 Bologna, Italy.ORCID 0000-0003-0690-306X
Edoardo Jun MattioliDipartimento di Chimica "Giacomo Ciamician", Alma Mater Studiorum-Università di Bologna, Via Francesco Selmi 2, 40126 Bologna, Italy.ORCID 0000-0002-2598-497X
Francesco ZerbettoDipartimento di Chimica "Giacomo Ciamician", Alma Mater Studiorum-Università di Bologna, Via Francesco Selmi 2, 40126 Bologna, Italy.
Matteo CalvaresiDipartimento di Chimica "Giacomo Ciamician", Alma Mater Studiorum-Università di Bologna, Via Francesco Selmi 2, 40126 Bologna, Italy.ORCID 0000-0002-9583-2146
University of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The persistency of COVID-19 in the world and the continuous rise of its variants demand new treatments to complement vaccines. Computational chemistry can assist in the identification of moieties able to lead to new drugs to fight the disease. Fullerenes and carbon nanomaterials can interact with proteins and are considered promising antiviral agents. Here, we propose the possibility to repurpose fullerenes to clog the active site of the SARS-CoV-2 protease, M

Indexed as

COVID-19 Drug TreatmentFullerenesCatalytic DomainCysteine EndopeptidasesDrug RepositioningHumansPeptide HydrolasesSARS-CoV-2Viral ProteinsCysteine EndopeptidasesFullerenesPeptide HydrolasesViral ProteinsC60C70COVID-19drug repurposinginhibitorsmasitinibMM-GBSAMpronanobio interfaceSARS-CoV-2

Identifiers

PMID35335283
PMCPMC8955646
OpenAlexW4220788349

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.