Evidence map›Paper›PMID 36211195›Full record

ArticleComputational & theoretical chemistry2022

Trivalent and pentavalent atoms doped boron nitride nanosheets as Favipiravir drug carriers for the treatment of COVID-19 using computational approaches.

Afiya Akter Piya, Tanvir Ahmed, Md Abdul Khaleque, Kabir Ahmed, Siraj Ud Daula Shamim

Open access · greenAbstract read
In one paragraph

Article in Computational & theoretical chemistry, 2022. 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
1.2field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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 1 institution in 1 country.

Afiya Akter PiyaDepartment of Physics, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh.
Tanvir AhmedDepartment of Physics, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh.
Md Abdul KhalequeDepartment of Physics, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh.
Kabir AhmedDepartment of Physics, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh.
Siraj Ud Daula ShamimDepartment of Physics, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh.
Mawlana Bhashani Science and Technology University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In our DFT investigations, pristine BNNS as well as trivalent and pentavalent atoms doped BNNS have been taken into consideration for Favipiravir (FPV) drug carriers for the treatment of COVID-19. Among the nanosheets, In doped BNNS (BN(In)NS) interacts with FPV by favorable adsorption energies about -2.44 and -2.38 eV in gas and water media respectively. The charge transfer analysis also predicted that a significant amount of charge about 0.202e and 0.27e are transferred to BN(In)NS in gas and water media respectively. HOMO and LUMO energies are greatly affected by the adsorption of FPV on BN(In)NS and energy gap drastically reduced by about 38.80 % and 64.07 % in gas and water media respectively. Similar results are found from the global indices and work function analysis. Therefore, it is clearly seen that dopant In atom greatly modified the BNNS and enhanced the adsorption behavior along with sensitivity, reactivity, polarity towards the FPV.

Indexed as

COSMOCOVID-19DFTDrug deliveryFavipiravirNanosheets

Identifiers

PMID36211195
PMCPMC9526002
OpenAlexW4298148338

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.