Evidence map›Paper›PMID 35880436›Full record

ReviewBMB reports2022

Systems pharmacology approaches in herbal medicine research: a brief review.

Myunggyo Lee, Hyejin Shin, Musun Park, Aeyung Kim, Seongwon Cha, Haeseung Lee

Abstract readReview
In one paragraph

Review in BMB reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. From Claims to Evidence: Re-Evaluating the Molecular Pharmacology ofInternational journal of molecular sciences · 2026
    Review
  2. From Ethnobotany to Pharmacognosy: A Review ofPlants (Basel, Switzerland) · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Frontiers in microbiology · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. The extract of an herbal medicineFrontiers in pharmacology · 2024
    Article
  17. Article
  18. Review
  19. Article
  20. 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

6 authors.

Myunggyo LeeDepartment of Pharmacy, College of Pharmacy, Pusan National University, Busan 46241, Korea.
Hyejin ShinKorean Medicine (KM) Convergence Research Division, Korea Institute of Oriental Medicine, Daejeon 34054, Korea.
Musun ParkKorean Medicine (KM) Data Division, Korea Institute of Oriental Medicine, Daejeon 34054, Korea.
Aeyung KimKorean Medicine (KM) Application Center, Korea Institute of Oriental Medicine, Daegu 41062, Korea.
Seongwon ChaKorean Medicine (KM) Data Division, Korea Institute of Oriental Medicine, Daejeon 34054, Korea.
Haeseung LeeDepartment of Pharmacy, College of Pharmacy, Pusan National University, Busan 46241, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herbal medicine, a multi-component treatment, has been extensively practiced for treating various symptoms and diseases. However, its molecular mechanism of action on the human body is unknown, which impedes the development and application of herbal medicine. To address this, recent studies are increasingly adopting systems pharmacology, which interprets pharmacological effects of drugs from consequences of the interaction networks that drugs might have. Most conventional network- based approaches collect associations of herb-compound, compound-target, and target-disease from individual databases, respectively, and construct an integrated network of herb-compound- target-disease to study the complex mechanisms underlying herbal treatment. More recently, rapid advances in highthroughput omics technology have led numerous studies to exploring gene expression profiles induced by herbal treatments to elicit information on direct associations between herbs and genes at the genome-wide scale. In this review, we summarize key databases and computational methods utilized in systems pharmacology for studying herbal medicine. We also highlight recent studies that identify modes of action or novel indications of herbal medicine by harnessing drug-induced transcriptome data. [BMB Reports 2022; 55(9): 417-428].

Indexed as

Drugs, Chinese HerbalHerbal MedicineHumansNetwork PharmacologyPhytotherapyTranscriptomeDrugs, Chinese Herbal

Identifiers

PMID35880436
PMCPMC9537023

What OpenQuestion holds

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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.