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Record W4408876402 · doi:10.1002/cbdv.202403352

Natural Products in <i>Cyperus</i> Species (<i>Cyperaceae</i>): Phytochemistry, Pharmacological Activities, and Biosynthesis

2025· review· en· W4408876402 on OpenAlexaff
Doris E. Ekayen, Conrad V. Simoben, Cyril T. Namba-Nzanguim, Lina N Nubed, Dieudonné Lemuh Njimoh, Vincent de Paul N. Nziko, Rajeev K. Singla, Christopher A. Ebot-Arrey, Emmanuel Acha Asongalem, Andrew Enow Egbe, Kennedy O. Abuga, Rajshekhar Karpoormath, E. Joel Loveridge

Bibliographic record

VenueChemistry & Biodiversity · 2025
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicBotany, Ecology, and Taxonomy Studies
Canadian institutionsStructural Genomics ConsortiumUniversity of Toronto
Fundersnot available
KeywordsTerpenoidCyperusCyperaceaeChemistryPhytochemistryAntimicrobialNatural productPlumbaginTraditional medicineBotanyBiologyBiochemistryOrganic chemistryPoaceae

Abstract

fetched live from OpenAlex

The review provides an update on the traditional uses, geographical distribution, pharmacological activities, biosynthesis, and mechanisms of action of potent natural products derived from Cyperus species. Cyperus species are widely distributed in the tropical and subtropical regions across the globe. Cyperus is the second-largest genus in this family with about 950 species. Since 1964, a total of about 403 natural products have been isolated from 43 Cyperus species, including terpenoids (51.61%), flavonoids (17.37%), stilbenoids (6.45%), quinones (5.71%), aromatics (7.69%), coumarins (5.21%), and other compounds (5.96%). The isolated compounds displayed anticancer, antiviral, antidiabetic, antimicrobial, antidepressant, and other activities. Terpenoids and flavonoids are the most abundant class of natural products that have been isolated from Cyperus species. The biosynthesis of some terpenoids and flavonoids has been provided in the paper. Natural products isolated from Cyperus species have demonstrated interesting in vitro activities that warrant further scientific investigations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.905
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.238
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2025
Admission routes1
Has abstractyes

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