Evidence map›Paper›PMID 34660543›Full record

ReviewFrontiers in chemistry2021

Currently Available Strategies for Target Identification of Bioactive Natural Products.

Gen Li, Xuling Peng, Yajing Guo, Shaoxuan Gong, Shijie Cao, Feng Qiu

Abstract readReview
In one paragraph

Review in Frontiers in chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  5. Review
  6. Article
  7. Review
  8. Article
  9. Synthesis of AgInSDiscover oncology · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. How to Design Peptides.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  20. DIGE Analysis of Animal Tissues.Methods in molecular biology (Clifton, N.J.) · 2023
    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

6 authors.

Gen LiSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Xuling PengSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yajing GuoSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Shaoxuan GongSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Shijie CaoTianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Feng QiuSchool of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, biologically active natural products have gradually become important agents in the field of drug research and development because of their wide availability and variety. However, the target sites of many natural products are yet to be identified, which is a setback in the pharmaceutical industry and has seriously hindered the translation of research findings of these natural products as viable candidates for new drug exploitation. This review systematically describes the commonly used strategies for target identification via the application of probe and non-probe approaches. The merits and demerits of each method were summarized using recent examples, with the goal of comparing currently available methods and selecting the optimum techniques for identifying the targets of bioactive natural products.

Indexed as

drug discoverynatural productnon-probeprobetarget identification

Identifiers

PMID34660543
PMCPMC8515416

What OpenQuestion holds

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LicenceCC BY
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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.