Evidence map›Paper›PMID 37089815›Full record

ArticleJournal of molecular structure2023

Interactions between carbon nanotubes and external structures of SARS-CoV-2 using molecular docking and molecular dynamics.

Júlio Cesar Mendes Lobato, Tiago da Silva Arouche, Jordan Del Nero, TarcisoAndrade Filho, Rosivaldo Dos Santos Borges, Antonio Maia de Jesus Chaves Neto

Abstract read
In one paragraph

Article in Journal of molecular structure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Júlio Cesar Mendes LobatoLaboratory of Preparation and Computation of Nanomaterials (LPCN), Federal University of Pará, C. P. 479, 66075-110, Belém, PA, Brazil.
Tiago da Silva AroucheLaboratory of Preparation and Computation of Nanomaterials (LPCN), Federal University of Pará, C. P. 479, 66075-110, Belém, PA, Brazil.
Jordan Del NeroPhysics Faculty, Science Institute of Sciences (ICEN), Federal University of Pará, 66075-110, Belém, PA, Brazil.
TarcisoAndrade FilhoFederal University of the South and Southeast of Pará. 68507-590, Marabá - PA, Brazil.
Rosivaldo Dos Santos BorgesPharmacy Faculty, Science Institute of Sciences (ICEN), Federal University of Pará, C. P. 479, 66075-110, Belém, PA, Brazil.
Antonio Maia de Jesus Chaves NetoLaboratory of Preparation and Computation of Nanomaterials (LPCN), Federal University of Pará, C. P. 479, 66075-110, Belém, PA, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular modeling techniques are used to describe the process of interaction between nanotubes and the main structures of the Covid-19 virus: the envelope protein, the main protease, and the Spike glycoprotein. Molecular docking studies show that the ligands have interaction characteristics capable of adsorbing the structures. Molecular dynamics simulations provide information on the mean squared deviation of atomic positions ​​between 0.5 and 3.0 Å. The Gibbs free energy model and solvent accessible surface area approaches are used. Through the results obtained through molecular dynamics simulations, it is noted that the zig-zag nanotube prefers to interact with E-pro, M-pro, and S-gly, respectively. Molecular couplings and free energy showed that the S-gly active site residues strongly interact with zigzag, chiral, and armchair nanotubes, in this order. The interactions demonstrated in this manuscript may predict some promising candidates for virus antagonists, which may be confirmed through experimental approaches.

Indexed as

Antiviral effectCarbon nanotubeMolecular docking, Molecular dynamics, DFT, In silico studySARS–CoV-2

Identifiers

PMID37089815
PMCPMC10111146

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Registered trials

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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.