Evidence map›Paper›PMID 36931201›Full record

ArticleComputers in biology and medicine2023

Identification of medicinal plant-based phytochemicals as a potential inhibitor for SARS-CoV-2 main protease (M

Alomgir Hossain, Md Ekhtiar Rahman, Md Siddiqur Rahman, Khondokar Nasirujjaman, Mohammad Nurul Matin, Md Omar Faruqe, Muhammad Fazle Rabbee

Open access · greenAbstract read
In one paragraph

Article in Computers in biology and medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Article
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  7. Review
  8. Investigation of phytochemicals isolated from selected Saudi medicinal plants as natural inhibitors of SARS CoV-2 main protease: In vitroSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
    Article
  9. Article
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  11. Review
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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

7 authors at 2 institutions in 2 countries.

Alomgir HossainDepartment of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, 6205, Bangladesh. Electronic address: s1910861106@ru.ac.bd.
Md Ekhtiar RahmanDepartment of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, 6205, Bangladesh.
Md Siddiqur RahmanDepartment of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, 6205, Bangladesh.
Khondokar NasirujjamanDepartment of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, 6205, Bangladesh.
Mohammad Nurul MatinDepartment of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, 6205, Bangladesh.
Md Omar FaruqeDepartment of Computer Science and Engineering, University of Rajshahi, Rajshahi, 6205, Bangladesh.
Muhammad Fazle RabbeeDepartment of Biotechnology, Yeungnam University, Gyeongsan, Gyeongsangbuk-do, 38541, Republic of Korea. Electronic address: rabbi.biotech@gmail.com.
University of Rajshahi · BDYeungnam University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highly transmissive and rapidly evolving Coronavirus disease-2019 (COVID-19), a viral disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), triggered a global pandemic, which is one of the most researched viruses in the academia. Effective drugs to treat people with COVID-19 have yet to be developed to reduce mortality and transmission. Studies on the SARS-CoV-2 virus identified that its main protease (M

Indexed as

COVID-19Deep LearningPlants, MedicinalCoronavirus 3C ProteasesHumansMolecular Docking SimulationMolecular Dynamics SimulationProtease InhibitorsSARS-CoV-23C-like proteinase, SARS-CoV-2Coronavirus 3C ProteasesProtease InhibitorsCatechin gallateDeep learningMain proteaseMolecular dockingSARS-CoV-2

Identifiers

PMID36931201
PMCPMC10008098
OpenAlexW4323928334

What Socratic 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 Socratic graph.