Evidence map›Paper›PMID 41322003›Full record

ArticleComputational and structural biotechnology journal2025

HerbComb: An integrated database for the discovery of novel combinational therapies from herbal medicines.

Yinyin Wang, Rui Liu, Xiang Luo, Jiaqi Yao, Hao Liu, Chengyuan Yue, Boon Seng Kho, Xiaochuang Xu, Shixing Lai, Fangcheng Yu and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

16 authors.

Yinyin WangDepartment of TCMs Pharmaceuticals, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Rui LiuDepartment of TCMs Pharmaceuticals, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Xiang LuoDepartment of TCMs Pharmaceuticals, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Jiaqi YaoDepartment of TCMs Pharmaceuticals, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Hao LiuArtificial Intelligence and Information Technology College, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Chengyuan YueShanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China.
Boon Seng KhoDepartment of TCMs Pharmaceuticals, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Xiaochuang XuDepartment of TCMs Pharmaceuticals, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Shixing LaiDepartment of TCMs Pharmaceuticals, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Fangcheng YuDepartment of TCMs Pharmaceuticals, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Yinnan ZhangDepartment of TCMs Pharmaceuticals, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Lin CaoWuhan Xinshidian Information Technology Co. Ltd, Wuhan 430023, China.
Ninghua TanDepartment of TCMs Pharmaceuticals, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Yun TangShanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China.
Tao YangArtificial Intelligence and Information Technology College, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Jing TangResearch Program in Systems Oncology, Faculty of Medicine, University of Helsinki, FI-00014, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug combinations have gained increasing interest due to their potential for optimal efficacy and for overcoming drug resistance. Herbal medicine is a complex system with multiple ingredients and has illustrated apparent therapeutic effects through thousands of years of clinical experience, offering a rich resource for combinational therapies. However, the underlying mechanisms of their synergistic therapeutic effects in disease treatment remain obscure for most herbal medicines. To fill this gap, we developed an integrated database, HerbComb (https://herbcomb.com/), to discover combinatorial therapies in herbal medicine, featuring three unique functions: drug prepositioning, customized combinatorial analysis, and biological and pharmacological features. Additionally, transcriptional gene signatures and ADMET properties were also interrogated as interactive functionalities to facilitate combinational analysis. Using Tongxinluo for Stroke as a case study, we identified and validated Oleanolic acid and Ferulic acid as synergistic ingredients. In summary, HerbComb is a versatile data exploration platform designed to characterize synergistic interactions among herbal medicines, enhance understanding of synergistic mechanisms, and facilitate the discovery of effective drug combinations.

Indexed as

Data integrationDrug combinationDrug repositioningNetwork proximityTCM database

Identifiers

PMID41322003
PMCPMC12657374

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.