Evidence map›Paper›PMID 23638153›Full record

ArticlePloS one2013

Use of natural products as chemical library for drug discovery and network pharmacology.

Jiangyong Gu, Yuanshen Gui, Lirong Chen, Gu Yuan, Hui-Zhe Lu, Xiaojie Xu

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 153 papers.

0numbers the graph read from it
0cells of the map it votes in
153citing 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

153 citing papers in PubMed.

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  13. Leveraging molecular graphs for natural product classification.Computational and structural biotechnology journal · 2025
    Article
  14. Screening of Natural Compounds as Inhibitor of MCurrent pharmaceutical design · 2025
    Article
  15. Article
  16. Review
  17. Latin American Natural Product Database (LANaPDB): An Update.Journal of chemical information and modeling · 2024
    Article
  18. Review
  19. Article
  20. Article

93 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

6 authors.

Jiangyong GuBeijing National Laboratory for Molecular Sciences, State Key Lab of Rare Earth Material Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing, PR China.
Yuanshen Gui
Lirong Chen
Gu Yuan
Hui-Zhe Lu
Xiaojie Xu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNatural products have been an important source of lead compounds for drug discovery. How to find and evaluate bioactive natural products is critical to the achievement of drug/lead discovery from natural products. METHODOLOGY: We collected 19,7201 natural products structures, reported biological activities and virtual screening results. Principal component analysis was employed to explore the chemical space, and we found that there was a large portion of overlap between natural products and FDA-approved drugs in the chemical space, which indicated that natural products had large quantity of potential lead compounds. We also explored the network properties of natural product-target networks and found that polypharmacology was greatly enriched to those compounds with large degree and high betweenness centrality. In order to make up for a lack of experimental data, high throughput virtual screening was employed. All natural products were docked to 332 target proteins of FDA-approved drugs. The most potential natural products for drug discovery and their indications were predicted based on a docking score-weighted prediction model.

conclusionsAnalysis of molecular descriptors, distribution in chemical space and biological activities of natural products was conducted in this article. Natural products have vast chemical diversity, good drug-like properties and can interact with multiple cellular target proteins.

Indexed as

Databases, PharmaceuticalBiological ProductsComputational BiologyDiseaseDrug ApprovalDrug DiscoveryPharmacologyUnited StatesUnited States Food and Drug AdministrationBiological Products

Identifiers

PMID23638153
PMCPMC3636197

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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.