Evidence map›Paper›PMID 34329937›Full record

ReviewPhytochemistry2021

Taxanes and taxoids of the genus Taxus - A comprehensive inventory of chemical diversity.

B Markus Lange, Caleb F Conner

Open access · greenAbstract readReview
In one paragraph

Review in Phytochemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.9field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 58 citations in OpenAlex.

  1. Review
  2. Recent advances inFrontiers in plant science · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Transcriptome and Metabolome Analyses ofPlants (Basel, Switzerland) · 2025
    Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. RewiringMetabolic engineering communications · 2024
    Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

2 authors at 1 institution in 1 country.

B Markus LangeInstitute of Biological Chemistry and M.J. Murdock Metabolomics Laboratory, Washington State University, Pullman, WA, 99164-7411, USA. Electronic address: lange-m@wsu.edu.
Caleb F ConnerInstitute of Biological Chemistry and M.J. Murdock Metabolomics Laboratory, Washington State University, Pullman, WA, 99164-7411, USA.
Washington State University · US

Funding

Synthetic biology tools for scalable production of medicinal plant terpenesR01AT010593 · NCCIH · STANFORD UNIVERSITY · PI KEASLING, JAY D, LANGE, BERND MARKUS · 2019 to 2023
$3.5M
NCCIH NIH HHS R01 AT010593
6 · The paper itself

Abstract

The pseudoalkaloid diterpene Taxol® (paclitaxel) emerged as a best-selling anti-cancer drug in the mid-1990s. The compound attracted considerable interest because of its unique mechanism to stabilize microtubules, thus reducing dynamicity and ultimately promoting mitotic arrest. Taxol was originally isolated from members of the genus Taxus. Over the last 50 years, close to 600 metabolites with taxane scaffolds were isolated from various Taxus species and their structures reported. The present review article provides an overview of the known chemical diversity of taxanes, with an emphasis on the functionalization of diterpene scaffolds. The implications of the occurrence of chemically diverse taxane metabolites for unraveling Taxol biosynthesis and enabling pathway engineering are discussed as well.

Indexed as

Antineoplastic AgentsDiterpenesTaxusPaclitaxelTaxoidsAntineoplastic AgentsDiterpenesPaclitaxelTaxoidsTaxaneTaxoidTaxolTaxus

Identifiers

PMID34329937
PMCPMC8393860
OpenAlexW3183843295

What OpenQuestion holds

Textmetadata
LicenceTDM
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.