Evidence map›Paper›PMID 34226782›Full record

ArticleSouth African journal of botany : official journal of the South African Association of Botanists = Suid-Afrikaanse tydskrif vir plantkunde : amptelike tydskrif van die Suid-Afrikaanse Genootskap van Plantkundiges2021

Docking-based virtual screening and identification of potential COVID-19 main protease inhibitors from brown algae.

Abdur Rauf, Umer Rashid, Anees Ahmed Khalil, Shahid Ali Khan, Sirajudheen Anwar, Ahmed Alafnan, Abdulhakeem Alamri, Kannan Rr Rengasamy

Abstract read
In one paragraph

Article in South African journal of botany : official journal of the South African Association of Botanists = Suid-Afrikaanse tydskrif vir plantkunde : amptelike tydskrif van die Suid-Afrikaanse Genootskap van Plantkundiges, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

8 authors.

Abdur RaufDepartment of Chemistry, University of Swabi, Anbar, K.P.K 23561, Pakistan.
Umer RashidDepartment of Chemistry, COMSATS University Islamabad, Abbottabad Campus, 22060, Pakistan.
Anees Ahmed KhalilFaculty of Allied Health Sciences, University Institute of Diet and Nutritional Sciences, The University of Lahore, Pakistan.
Shahid Ali KhanDepartment of Chemistry, University of Swabi, Anbar, K.P.K 23561, Pakistan.
Sirajudheen AnwarPharmacology and Toxicology Department, College of Pharmacy, University of Hail, 81451, Saudi Arabia.
Ahmed AlafnanPharmacology and Toxicology Department, College of Pharmacy, University of Hail, 81451, Saudi Arabia.
Abdulhakeem AlamriDepartment of Clinical Laboratory Sciences, College of Applied Medical Science, Taif University, P. O. Box 11099, Taif 21944, Saudi Arabia.
Kannan Rr RengasamyGreen Biotechnologies Research Centre of Excellence, University of Limpopo, Private Bag X1106, Polokwane, Sovenga 0727, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 (SARS-CoV-2) is a viral disease that causes acute respiratory syndrome, which has increased the morbidity and mortality rate throughout the world. World Health Organization has declared this COVID-19 outbreak as pandemic and classified health emergency throughout the world. In the recent past, outbreaks of SARS and MERS have shown the interspecies transmission potential of coronaviruses and limitations of already prescribed drugs to overcome this global public health issue. Therefore, there is a dire need to identify a new regimen of targeted drugs from natural compounds having anti-COVID19 potential. This study aimed at screening 1018 brown algal natural compounds (many of them previously reported to have immunomodulatory effects) having probable anti-COVID19 potentials. The source compounds were extracted from MarinLit, a database dedicated to marine natural products and screened against COVID-19 main protease. The top seven compounds were further analysed, and their interactions with the active site were visualized. This study will further warrant screening the potent compounds against the virus

Indexed as

Covid-19Docking-based VSSeaweedStructure-based virtual screening

Identifiers

PMID34226782
PMCPMC8245353

What OpenQuestion holds

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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.