Evidence map›Paper›PMID 41584702›Full record

ArticleChinese herbal medicines2026

Herbgenomics: Unraveling natural product biosynthesis in traditional Chinese medicine.

Jing Wang, Jingyuan Song, Shilin Chen, Zhichao Xu

Abstract read
In one paragraph

Article in Chinese herbal medicines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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.

Jing WangKey Laboratory of National Forestry and Grassland Administration on Chinese Herbal Medicine, College of Life Science, Northeast Forestry University, Harbin 150040, China.
Jingyuan SongInstitute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China.
Shilin ChenInstitute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Zhichao XuKey Laboratory of National Forestry and Grassland Administration on Chinese Herbal Medicine, College of Life Science, Northeast Forestry University, Harbin 150040, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medicinal plants synthesize structurally diverse pharmacologically active natural products through conserved precursor pathways, which are further diversified by lineage-specific tailoring enzymes. Although the biosynthetic pathways of well-studied compounds (e.g., berberine, paclitaxel, and ginsenosides) have been extensively characterized, most bioactive components in Traditional Chinese Medicine (TCM) remain poorly understood. The emerging discipline of Herbgenomics has significantly advanced biosynthetic gene discovery and pathway elucidation. By employing genomics-driven strategies such as biosynthetic gene cluster mining, co-expression analysis, and integrated transcriptome-metabolome profiling, Herbgenomics enables systematic identification of key biosynthetic enzymes and uncovers evolutionary mechanisms (e.g., whole-genome and tandem gene duplications) driving metabolic innovation. Furthermore, it provides a foundation for drug development by leveraging gene-encoded natural diverse components and genome-wide pan-receptor platforms (e.g., pan-GPCR). Through the integration of pathway analysis, regulatory mechanisms, molecular breeding, and synthetic biology, Herbgenomics establishes a comprehensive framework for exploring and engineering TCM natural product biosynthesis, offering a sustainable pathway to the discovery and production of bioactive compounds.

Indexed as

biosynthesisherbgenomicsmedicinal plantsnatural productstraditional Chinese medicine

Identifiers

PMID41584702
PMCPMC12828135

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.