Evidence map›Paper›PMID 37798547›Full record

ArticleNatural products and bioprospecting2023

Leveraging off higher plant phylogenetic insights for antiplasmodial drug discovery.

Phanankosi Moyo, Luke Invernizzi, Sephora M Mianda, Wiehan Rudolph, Warren A Andayi, Mingxun Wang, Neil R Crouch, Vinesh J Maharaj

Abstract read
In one paragraph

Article in Natural products and bioprospecting, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Phanankosi MoyoBiodiscovery Center, Department of Chemistry, Faculty of Natural and Agricultural Sciences, University of Pretoria, Private Bag X 20, Hatfield, Pretoria, 0028, South Africa.ORCID http://orcid.org/0000-0001-7692-3256
Luke InvernizziBiodiscovery Center, Department of Chemistry, Faculty of Natural and Agricultural Sciences, University of Pretoria, Private Bag X 20, Hatfield, Pretoria, 0028, South Africa.ORCID http://orcid.org/0000-0003-1095-365X
Sephora M MiandaBiodiscovery Center, Department of Chemistry, Faculty of Natural and Agricultural Sciences, University of Pretoria, Private Bag X 20, Hatfield, Pretoria, 0028, South Africa.ORCID http://orcid.org/0000-0002-7586-4765
Wiehan RudolphBiodiscovery Center, Department of Chemistry, Faculty of Natural and Agricultural Sciences, University of Pretoria, Private Bag X 20, Hatfield, Pretoria, 0028, South Africa.ORCID http://orcid.org/0000-0001-7388-7966
Warren A AndayiDepartment of Physical and Biological Sciences, Murang'a University of Technology, Murang'a, Kenya.ORCID http://orcid.org/0000-0002-6331-7553
Mingxun WangComputer Science and Engineering, University of California Riverside, 900 University Ave, Riverside, CA, 92521, USA.ORCID http://orcid.org/0000-0001-7647-6097
Neil R CrouchBiodiversity Research and Monitoring Directorate, South African National Biodiversity Institute, Berea Road, P.O. Box 52099, Durban, 4007, South Africa.ORCID http://orcid.org/0000-0002-4938-5840
Vinesh J MaharajBiodiscovery Center, Department of Chemistry, Faculty of Natural and Agricultural Sciences, University of Pretoria, Private Bag X 20, Hatfield, Pretoria, 0028, South Africa. vinesh.maharaj@up.ac.za.ORCID http://orcid.org/0000-0002-6512-304X

Funding

Fondation L'Oréal 4500453975
6 · The paper itself

Abstract

The antimalarial drug-resistance conundrum which threatens to reverse the great strides taken to curb the malaria scourge warrants an urgent need to find novel chemical scaffolds to serve as templates for the development of new antimalarial drugs. Plants represent a viable alternative source for the discovery of unique potential antiplasmodial chemical scaffolds. To expedite the discovery of new antiplasmodial compounds from plants, the aim of this study was to use phylogenetic analysis to identify higher plant orders and families that can be rationally prioritised for antimalarial drug discovery. We queried the PubMed database for publications documenting antiplasmodial properties of natural compounds isolated from higher plants. Thereafter, we manually collated compounds reported along with plant species of origin and relevant pharmacological data. We systematically assigned antiplasmodial-associated plant species into recognised families and orders, and then computed the resistance index, selectivity index and physicochemical properties of the compounds from each taxonomic group. Correlating the generated phylogenetic trees and the biological data of each clade allowed for the identification of 3 'hot' plant orders and families. The top 3 ranked plant orders were the (i) Caryophyllales, (ii) Buxales, and (iii) Chloranthales. The top 3 ranked plant families were the (i) Ancistrocladaceae, (ii) Simaroubaceae, and (iii) Buxaceae. The highly active natural compounds (IC

Indexed as

Drug-resistance‘Hot’ plantsMalariaNatural productsPhylogeneticsPlants

Identifiers

PMID37798547
PMCPMC10555984

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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.