Evidence map›Paper›PMID 30096807›Full record

ArticleNutrients2018

Discovering Health Benefits of Phytochemicals with Integrated Analysis of the Molecular Network, Chemical Properties and Ethnopharmacological Evidence.

Sunyong Yoo, Kwansoo Kim, Hojung Nam, Doheon Lee

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

30 citing papers in PubMed, 85 citations in OpenAlex.

  1. Article
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  3. Review
  4. Article
  5. Article
  6. Review
  7. Berries vs. Disease: Revenge of the Phytochemicals.Pharmaceuticals (Basel, Switzerland) · 2024
    Review
  8. Article
  9. Article
  10. 7-Geranyloxycinnamic Acid Isolated fromMolecules (Basel, Switzerland) · 2023
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Review
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  19. 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

4 authors at 2 institutions in 1 country.

Sunyong YooDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea. syyoo@kaist.ac.kr.ORCID 0000-0003-0925-1853
Kwansoo KimDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea. only826kaist@kaist.ac.kr.
Hojung NamSchool of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Korea. hjnam@gist.ac.kr.
Doheon LeeDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea. dhlee@kaist.ac.kr.ORCID 0000-0001-9070-4316
Korea Advanced Institute of Science and Technology · KRGwangju Institute of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying the health benefits of phytochemicals is an essential step in drug and functional food development. While many in vitro screening methods have been developed to identify the health effects of phytochemicals, there is still room for improvement because of high cost and low productivity. Therefore, researchers have alternatively proposed in silico methods, primarily based on three types of approaches; utilizing molecular, chemical or ethnopharmacological information. Although each approach has its own strength in analyzing the characteristics of phytochemicals, previous studies have not considered them all together. Here, we apply an integrated in silico analysis to identify the potential health benefits of phytochemicals based on molecular analysis and chemical properties as well as ethnopharmacological evidence. From the molecular analysis, we found an average of 415.6 health effects for 591 phytochemicals. We further investigated ethnopharmacological evidence of phytochemicals and found that on average 129.1 (31%) of the predicted health effects had ethnopharmacological evidence. Lastly, we investigated chemical properties to confirm whether they are orally bio-available, drug available or effective on certain tissues. The evaluation results indicate that the health effects can be predicted more accurately by cooperatively considering the molecular analysis, chemical properties and ethnopharmacological evidence.

Indexed as

AlgorithmsSystems IntegrationDatabases, FactualData MiningEthnopharmacologyHumansMolecular StructurePhytochemicalsPlant PreparationsStructure-Activity RelationshipPhytochemicalsPlant Preparationschemical propertyethnopharmacologyhealth benefitsherbal medicinemolecular analysisnetwork medicinephytochemical

Identifiers

PMID30096807
PMCPMC6115900
OpenAlexW2887552673

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.