Evidence map›Paper›PMID 40098666›Full record

ReviewInnovation (Cambridge (Mass.))2025

Emerging paradigms for target discovery of traditional medicines: A genome-wide pan-GPCR perspective.

Zenghao Bi, Huan Li, Yuting Liang, Dan Sun, Songxin Liu, Wei Chen, Liang Leng, Chi Song, Sanyin Zhang, Zhaotong Cong and 1 more

Abstract readReview
In one paragraph

Review in Innovation (Cambridge (Mass.)), 2025. 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. Engineering selective PI3KActa pharmaceutica Sinica. B · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Identification of Neferine as a DOR Agonist Activating GInternational journal of molecular sciences · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Transduction of Lentiviral Vectors andInternational journal of molecular sciences · 2025
    Article
  16. Article
  17. Review
  18. Article
  19. 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

11 authors.

Zenghao BiSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Huan LiInstitute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Yuting LiangSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Dan SunInstitute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Songxin LiuInstitute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Wei ChenInstitute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Liang LengInstitute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Chi SongInstitute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Sanyin ZhangInstitute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Zhaotong CongInstitute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Shilin ChenInstitute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional medicines serve not only as an integral part of medical treatments prescribed by healthcare providers but also as a fundamental reservoir for novel molecular scaffolds. However, gaps remain in our understanding of the mechanisms underlying their activity. A superfamily of membrane proteins, G protein-coupled receptors (GPCRs), have been demonstrated to be potential targets for several compounds isolated from traditional medicines. Given that GPCRs serve as targets for approximately one-third of all marketed drugs, they may be compelling targets for repurposing traditional medicines. Despite this potential, research investigating their activity or potential ligands across GPCRome, the library of human GPCRs, is scarce. Drawing on the functional and structural knowledge presently available, this review contemplates prospective trends in GPCR drug discovery, proposes innovative strategies for investigating traditional medicines, and highlights ligand screening approaches for identifying novel drug-like molecules. To discover bioactive molecules from traditional medicines that either directly bind to GPCRs or indirectly modify their function, a genome-wide pan-GPCR drug discovery platform was designed for the identification of bioactive components and targets, and the evaluation of their pharmacological profiles. This platform aims to aid the exploration of all-sided relations between traditional medicines and GPCRome using advanced high-throughput screening techniques. We present various approaches used by many, including ourselves, to illuminate the previously unexplored aspects of traditional medicines and GPCRs.

Indexed as

drug discoveryG protein-coupled receptorsligand screeningtraditional medicines

Identifiers

PMID40098666
PMCPMC11910885

What Socratic 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 Socratic graph.