Evidence map›Paper›PMID 34515981›Full record

ReviewNatural products and bioprospecting2021

Natural Products as Potential Lead Compounds for Drug Discovery Against SARS-CoV-2.

Oyere Tanyi Ebob, Smith B Babiaka, Fidele Ntie-Kang

Open access · diamondAbstract readReview
In one paragraph

Review in Natural products and bioprospecting, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  14. In Vitro Anti-Epstein Barr Virus Activity ofPlants (Basel, Switzerland) · 2021
    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

3 authors at 1 institution in 2 countries.

Oyere Tanyi EbobDepartment of Chemistry, Faculty of Science, University of Buea, P.O. Box 63, Buea, Cameroon.ORCID http://orcid.org/0000-0002-2373-1354
Smith B BabiakaDepartment of Chemistry, Faculty of Science, University of Buea, P.O. Box 63, Buea, Cameroon.ORCID http://orcid.org/0000-0002-4476-5860
Fidele Ntie-KangDepartment of Chemistry, Faculty of Science, University of Buea, P.O. Box 63, Buea, Cameroon. fidele.ntie-kang@ubuea.cm.ORCID http://orcid.org/0000-0003-0795-394X
University of Buea · CM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the past 2 years, the coronavirus responsible for the COVID-19 infection has become a world pandemic, ruining the lives and economies of several nations in the world. This has scaled up research on the virus and the resulting infection with the goal of developing new vaccines and therapies. Natural products are known to be a rich source of lead compounds for drug discovery, including against infectious diseases caused by microbes (viruses, bacteria and fungi). In this review article, we conducted a literature survey aimed at identifying natural products with inhibitory concentrations against the coronaviruses or their target proteins, which lie below 10 µM. This led to the identification of 42 compounds belonging to the alkaloid, flavonoid, terpenoid, phenolic, xanthone and saponin classes. The cut off concentration of 10 µM was to limit the study to the most potent chemical entities, which could be developed into therapies against the viral infection to make a contribution towards limiting the spread of the disease.

Indexed as

AntiviralsDrug discoveryInhibitorsLead compoundsNatural productsSARS-CoV-2

Identifiers

PMID34515981
PMCPMC8435765
OpenAlexW3199207701

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.