Evidence map›Paper›PMID 26548985›Full record

ArticleOrganic and medicinal chemistry letters2014

The potential of anti-malarial compounds derived from African medicinal plants, part III: an in silico evaluation of drug metabolism and pharmacokinetics profiling.

Pascal Amoa Onguéné, Fidele Ntie-Kang, James Ajeck Mbah, Lydia Likowo Lifongo, Jean Claude Ndom, Wolfgang Sippl, Luc Meva'a Mbaze

Abstract read
In one paragraph

Article in Organic and medicinal chemistry letters, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Metabolite profiling, antimalarial potentials ofFrontiers in molecular biosciences · 2025
    Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Anti-COVID-19 activity of some benzofused 1,2,3-triazolesulfonamide hybrids usingChemometrics and intelligent laboratory systems : an international journal sponsored by the Chemometrics Society · 2021
    Article
  9. Article
  10. Molecular modelling andInformatics in medicine unlocked · 2021
    Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

7 authors.

Pascal Amoa OnguénéDepartment of Chemistry, Faculty of Science, University of Douala, 00237, P. O. Box 24157, Douala, Cameroon. amoapascal@yahoo.fr.
Fidele Ntie-KangDepartment of Chemistry, Faculty of Science, Chemical and Bioactivity Information Centre, University of Buea, 00237, P. O. Box 63, Buea, Cameroon. ntiekfidele@gmail.com.
James Ajeck MbahDepartment of Chemistry, Faculty of Science, Chemical and Bioactivity Information Centre, University of Buea, 00237, P. O. Box 63, Buea, Cameroon. mbah_james@yahoo.com.
Lydia Likowo LifongoDepartment of Chemistry, Faculty of Science, Chemical and Bioactivity Information Centre, University of Buea, 00237, P. O. Box 63, Buea, Cameroon. llifongo@yahoo.com.
Jean Claude NdomDepartment of Chemistry, Faculty of Science, University of Douala, 00237, P. O. Box 24157, Douala, Cameroon. ndomjefr@yahoo.fr.
Wolfgang SipplDepartment of Pharmaceutical Sciences, Martin-Luther University of Halle-Wittenberg, Wolfgang-Langenbeck Str. 4, Halle, (Saale) 06120, Germany. wolfgang.sippl@pharmazie.uni-halle.de.
Luc Meva'a MbazeDepartment of Chemistry, Faculty of Science, University of Douala, 00237, P. O. Box 24157, Douala, Cameroon. lmbazze@yahoo.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria is an endemic disease affecting many countries in Tropical regions. In the search for compound hits for the design and/or development of new drugs against the disease, many research teams have resorted to African medicinal plants in order to identify lead compounds. Three-dimensional molecular models were generated for anti-malarial compounds of African origin (from 'weakly' active to 'highly' active), which were identified from literature sources. Selected computed molecular descriptors related to absorption, distribution, metabolism, excretion and toxicity (ADMET) of the phytochemicals have been analysed and compared with those of known drugs in order to access the 'drug-likeness' of these compounds.

resultsIn the present study, more than 500 anti-malarial compounds identified from 131 distinct medicinal plant species belonging to 44 plant families from the African flora have been considered. On the basis of Lipinski's 'Rule of Five', about 70% of the compounds were predicted to be orally bioavailable, while on the basis of Jorgensen's 'Rule of Three', a corresponding >80% were compliant. An overall drug-likeness parameter indicated that approximately 55% of the compounds could be potential leads for the development of drugs.

conclusionsFrom the above analyses, it could be estimated that >50% of the compounds exhibiting anti-plasmodial/anti-malarial activities, derived from the African flora, could be starting points for drug discovery against malaria. The 3D models of the compounds have been included as an accompanying file and could be employed in virtual screening.

Indexed as

AfricaMalariaMedicinal plantsMetabolismNatural productsPharmacokinetics

Identifiers

PMID26548985
PMCPMC4970435

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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.