Evidence map›Paper›PMID 33264402›Full record

ArticleNucleic acids research2021

HERB: a high-throughput experiment- and reference-guided database of traditional Chinese medicine.

ShuangSang Fang, Lei Dong, Liu Liu, JinCheng Guo, LianHe Zhao, JiaYuan Zhang, DeChao Bu, XinKui Liu, PeiPei Huo, WanChen Cao and 5 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 359 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
359citing papers in PubMed, 2 pooled it
46.9field-weighted citation impact, top 1% 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

359 citing papers in PubMed, 2 syntheses or guidelines pooled it, 612 citations in OpenAlex.

  1. Pooled it
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  12. MDL-HTI: A Multimodal Deep Learning Approach for Predicting Herb-Target Interactions.Interdisciplinary sciences, computational life sciences · 2026
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  19. Luteolin fromPharmaceuticals (Basel, Switzerland) · 2026
    Article
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299 more citing papers are in PubMed but not listed here.

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

15 authors at 4 institutions in 1 country.

ShuangSang FangBeijing University of Chinese Medicine, Chaoyang District, Beijing 100029, China.
Lei DongBeijing University of Chinese Medicine, Chaoyang District, Beijing 100029, China.
Liu LiuBeijing University of Chinese Medicine, Chaoyang District, Beijing 100029, China.
JinCheng GuoBeijing University of Chinese Medicine, Chaoyang District, Beijing 100029, China.
LianHe ZhaoKey Laboratory of Intelligent Information Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
JiaYuan ZhangBeijing University of Chinese Medicine, Chaoyang District, Beijing 100029, China.
DeChao BuKey Laboratory of Intelligent Information Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
XinKui LiuBeijing University of Chinese Medicine, Chaoyang District, Beijing 100029, China.
PeiPei HuoKey Laboratory of Intelligent Information Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
WanChen CaoBeijing University of Chinese Medicine, Chaoyang District, Beijing 100029, China.
QiongYe DongKey Laboratory of Intelligent Information Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
JiaRui WuBeijing University of Chinese Medicine, Chaoyang District, Beijing 100029, China.
Xiaoxi ZengWest China Biomedical Big Data Center, Division of Nephrology, Kidney Research Institute, West China Hospital of Sichuan University, Chengdu 610041, China.
Yang WuKey Laboratory of Intelligent Information Processing, Advanced Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China.
Yi ZhaoBeijing University of Chinese Medicine, Chaoyang District, Beijing 100029, China.
Beijing University of Chinese Medicine · CNChinese Academy of Sciences · CNInstitute of Computing Technology · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacotranscriptomics has become a powerful approach for evaluating the therapeutic efficacy of drugs and discovering new drug targets. Recently, studies of traditional Chinese medicine (TCM) have increasingly turned to high-throughput transcriptomic screens for molecular effects of herbs/ingredients. And numerous studies have examined gene targets for herbs/ingredients, and link herbs/ingredients to various modern diseases. However, there is currently no systematic database organizing these data for TCM. Therefore, we built HERB, a high-throughput experiment- and reference-guided database of TCM, with its Chinese name as BenCaoZuJian. We re-analyzed 6164 gene expression profiles from 1037 high-throughput experiments evaluating TCM herbs/ingredients, and generated connections between TCM herbs/ingredients and 2837 modern drugs by mapping the comprehensive pharmacotranscriptomics dataset in HERB to CMap, the largest such dataset for modern drugs. Moreover, we manually curated 1241 gene targets and 494 modern diseases for 473 herbs/ingredients from 1966 references published recently, and cross-referenced this novel information to databases containing such data for drugs. Together with database mining and statistical inference, we linked 12 933 targets and 28 212 diseases to 7263 herbs and 49 258 ingredients and provided six pairwise relationships among them in HERB. In summary, HERB will intensively support the modernization of TCM and guide rational modern drug discovery efforts. And it is accessible through http://herb.ac.cn/.

Indexed as

Databases, FactualSoftwareAnimalsComputational BiologyDatasets as TopicDrugs, Chinese HerbalHigh-Throughput Screening AssaysHumansInternetMedicine, Chinese TraditionalMiceMolecular Targeted TherapyPharmacogeneticsPlant ExtractsTranscriptomeDrugs, Chinese HerbalPlant Extracts

Identifiers

PMID33264402
PMCPMC7779036
OpenAlexW3108860514

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.