Evidence map›Paper›PMID 33102585›Full record

ArticleBioMed research international2020

Phytochemicals from Selective Plants Have Promising Potential against SARS-CoV-2: Investigation and Corroboration through Molecular Docking, MD Simulations, and Quantum Computations.

Kafila Kousar, Arshia Majeed, Farkhanda Yasmin, Waqar Hussain, Nouman Rasool

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

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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

5 authors at 4 institutions in 2 countries.

Kafila KousarDepartment of Healthcare Biotechnology, Atta ur Rahman School of Applied Biosciences, National University of Science and Technology Islamabad, Pakistan.
Arshia MajeedMedicare Health Services, Lahore, Pakistan.
Farkhanda YasminDepartment of Biotechnology, Khawaja Fareed University of Science and Technology, Rahim Yar Khan, Pakistan.
Waqar HussainNational Center of Artificial Intelligence, Punjab University College of Information Technology, University of the Punjab, Lahore, Pakistan.ORCID https://orcid.org/0000-0001-8991-9424
Nouman RasoolCenter for Professional and Applied Studies, Lahore, Pakistan.ORCID https://orcid.org/0000-0003-0210-5845
National Society of Professional Engineers · USKhwaja Fareed University of Engineering and Information Technology · PKNational University of Technology · PKServices Hospital · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronaviruses have been reported previously due to their association with the severe acute respiratory syndrome (SARS). After SARS, these viruses were known to be causing Middle East respiratory syndrome (MERS) and caused 35% evanescence amid victims pursuing remedial care. Nowadays, beta coronaviruses, members of

Indexed as

COVID-19 Drug TreatmentAdenosine MonophosphateAlanineAntimetabolitesAntiviral AgentsChinaCOVID-19DioxolanesFluoroquinolonesHumansMethyltransferasesMolecular Docking SimulationNelfinavirPhytochemicalsPiperazinesProtein ConformationAdenosine MonophosphateAlanineAntimetabolitesAntiviral AgentsDioxolanesFluoroquinolonesMethyltransferasesNelfinavirNsp13 protein, SARS-CoVNSP16 protein, SARS-CoV-2PhytochemicalsPiperazinesprulifloxacinremdesivirRNA HelicasesTopoisomerase II InhibitorsViral Nonstructural Proteins

Identifiers

PMID33102585
PMCPMC7568149
OpenAlexW3092897711

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.