Evidence map›Paper›PMID 37181403›Full record

ArticleBiochemistry research international2023

A Computational Study on Selected Alkaloids as SARS-CoV-2 Inhibitors: PASS Prediction, Molecular Docking, ADMET Analysis, DFT, and Molecular Dynamics Simulations.

Md Golam Mortuza, Md Abul Hasan Roni, Ajoy Kumer, Suvro Biswas, Md Abu Saleh, Shirmin Islam, Samia Sadaf, Fahmida Akther

Open access · goldAbstract read
In one paragraph

Article in Biochemistry research international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Frontiers in oncology · 2024
    Article
  4. Future science OA · 2024
    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

8 authors at 5 institutions in 1 country.

Md Golam MortuzaDepartment of Pharmaceutical Sciences, North South University, Dhaka 1217, Bangladesh.ORCID https://orcid.org/0000-0002-0019-5704
Md Abul Hasan RoniDepartment of Science and Humanities, Bangladesh Army International University of Science and Technology, Cumilla 3500, Bangladesh.ORCID https://orcid.org/0000-0003-4912-8489
Ajoy KumerDepartment of Chemistry, European University of Bangladesh-EUB, Dhaka 1216, Bangladesh.ORCID https://orcid.org/0000-0001-5136-6166
Suvro BiswasMiocrobiology Laboratory, Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh.ORCID https://orcid.org/0000-0003-2165-2115
Md Abu SalehMiocrobiology Laboratory, Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh.ORCID https://orcid.org/0000-0001-5610-4763
Shirmin IslamMiocrobiology Laboratory, Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, Bangladesh.ORCID https://orcid.org/0000-0002-2615-2083
Samia SadafDepartment of Genetic Engineering and Biotechnology, University of Chittagong, Chittagong 4331, Bangladesh.ORCID https://orcid.org/0000-0001-8029-7542
Fahmida AktherDepartment of Pharmacy, University of Chittagong, Chittagong 4331, Bangladesh.ORCID https://orcid.org/0000-0002-6083-1266
University of Rajshahi · BDUniversity of Chittagong · BDBangladesh Army International University of Science and TechnologyEuropean University of Bangladesh · BDNorth South University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite treatments and vaccinations, it remains difficult to develop naturally occurring COVID-19 inhibitors. Here, our main objective is to find potential lead compounds from the retrieved alkaloids with antiviral and other biological properties that selectively target the main SARS-CoV-2 protease (

Identifiers

PMID37181403
PMCPMC10171978
OpenAlexW4368377694

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.