Evidence map›Paper›PMID 29121120›Full record

ArticlePloS one2017

Nature is the best source of anticancer drugs: Indexing natural products for their anticancer bioactivity.

Anwar Rayan, Jamal Raiyn, Mizied Falah

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
128citing papers in PubMed, 1 pooled it
–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

128 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Cancer chemoprevention: signaling pathways and strategic approaches.Signal transduction and targeted therapy · 2025
    Review
  12. Review
  13. Phytochemical Characterization and Anticancer Activity ofInternational journal of molecular sciences · 2025
    Article
  14. Article
  15. Antioxidant and Anti-Proliferative Effects ofLife (Basel, Switzerland) · 2024
    Article
  16. Review
  17. Discovery of a 6-Aminobenzo[ACS pharmacology & translational science · 2024
    Article
  18. Article
  19. Discovery of Potent IsoquinolinequinoneJournal of medicinal chemistry · 2024
    Article
  20. Cytotoxic Activity ofMolecules (Basel, Switzerland) · 2024
    Article

68 more citing papers are in PubMed but not listed here.

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.

Anwar RayanDrug Discovery Informatics Lab, QRC - Qasemi Research Center, Al-Qasemi Academic College, Baka EL-Garbiah, Israel.
Jamal RaiynDrug Discovery Informatics Lab, QRC - Qasemi Research Center, Al-Qasemi Academic College, Baka EL-Garbiah, Israel.
Mizied FalahFaculty of Medicine in the Galilee, Bar-Ilan University, Ramat Gan, Tel Aviv, Israel.ORCID http://orcid.org/0000-0002-2044-777X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is considered one of the primary diseases that cause morbidity and mortality in millions of people worldwide and due to its prevalence, there is undoubtedly an unmet need to discover novel anticancer drugs. However, the traditional process of drug discovery and development is lengthy and expensive, so the application of in silico techniques and optimization algorithms in drug discovery projects can provide a solution, saving time and costs. A set of 617 approved anticancer drugs, constituting the active domain, and a set of 2,892 natural products, constituting the inactive domain, were employed to build predictive models and to index natural products for their anticancer bioactivity. Using the iterative stochastic elimination optimization technique, we obtained a highly discriminative and robust model, with an area under the curve of 0.95. Twelve natural products that scored highly as potential anticancer drug candidates are disclosed. Searching the scientific literature revealed that few of those molecules (Neoechinulin, Colchicine, and Piperolactam) have already been experimentally screened for their anticancer activity and found active. The other phytochemicals await evaluation for their anticancerous activity in wet lab.

Indexed as

AlgorithmsAntineoplastic AgentsComputer SimulationDrug DiscoveryHumansMolecular StructureNeoplasmsPhytochemicalsROC CurveStochastic ProcessesStructure-Activity RelationshipAntineoplastic AgentsPhytochemicals

Identifiers

PMID29121120
PMCPMC5679595

What OpenQuestion holds

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LicenceCC BY
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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.