Evidence map›Paper›PMID 40731309›Full record

ReviewJournal of natural products2025

Value Addition to African Natural Product-Based Drug Discovery Initiatives.

Godfrey Mayoka, Peter Mubanga Cheuka, Phanankosi Moyo, Godwin Akpeko Dziwornu, Denzil Beukes

Abstract readReview
In one paragraph

Review in Journal of natural products, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Godfrey MayokaDepartment of Drug Design and Optimization, Helmholtz Institute for Pharmaceutical Research Saarland, Helmholtz Centre for Infection Research, Campus E8.1, Saarbrucken 66123, Germany.ORCID 0000-0003-2238-1249
Peter Mubanga CheukaDepartment of Chemistry, School of Natural Sciences, University of Zambia, P.O Box 32379, 10101 Lusaka, Zambia.ORCID 0000-0001-8594-2467
Phanankosi MoyoBiodiscovery Center, Department of Chemistry, Faculty of Natural and Agricultural Sciences, University of Pretoria, Natural Science 1 Building, Private Bag X20, Hatfield 0028, South Africa.ORCID 0000-0001-7692-3256
Godwin Akpeko DziwornuDrug Discovery and Development Centre, Department of Chemistry, University of Cape Town, 7701 Rondebosch, Cape Town, South Africa.ORCID 0000-0003-1668-8818
Denzil BeukesSchool of Pharmacy, University of the Western Cape, Robert Sobukwe Rd., Bellville, Cape Town 7535, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural products are vital to drug discovery, yet Africa's vast biodiversity remains underutilized. This perspective examines barriers limiting Africa's impact─such as weak infrastructure, limited translational capacity, and minimal integration of medicinal chemistry. We advocate for advancing beyond basic extraction to include systematic isolation, pharmacokinetics studies, and semisynthetic derivatization. Emphasis is placed on integrating AI, cheminformatics, and biotransformation, alongside embedding drug discovery training into academic curricula. Strengthening regional networks, fostering interdisciplinary collaborations, and securing Africa-sensitive funding are essential. Strategic implementation of these actions will enable Africa to harness its natural resources for global drug discovery and address local health challenges.

Indexed as

Biological ProductsDrug DiscoveryAfricaHumansBiological ProductsAfrican Natural ProductBioactivityDrug Discovery InitiativesValue Addition

Identifiers

PMID40731309
PMCPMC12379162

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.