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Record W4413765047 · doi:10.1039/d5np00026b

Biosynthesis of biologically active terpenoids in the mint family (Lamiaceae)

2025· review· en· W4413765047 on OpenAlex
Maximilian Frey, Sandra T. Gohr, Tobias G. Köllner, Ulschan Bathe, Nathalie D. Lackus, Guillermo F. Padilla-González, Dae‐Kyun Ro, Sarah E. O’Connor, J. Degenhardt, Alain Tissier

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNatural Product Reports · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant biochemistry and biosynthesis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsLamiaceaeTerpenoidBiological activityBiosynthesisChemistryStereochemistryBiologyTraditional medicineBiochemistryBotanyIn vitroGeneMedicine

Abstract

fetched live from OpenAlex

Covering: 2000 to 2025The Lamiaceae family, the sixth largest among angiosperms, is renowned for its rich diversity of terpenoids, many of which exhibit remarkable bioactivities, including anti-inflammatory, psychoactive, anti-cancer, and antiviral effects. Notable examples with fully elucidated biosynthetic pathways include menthol from peppermint, forskolin from blue spur flower, and carnosol from rosemary. For other key Lamiaceae terpenes-such as the anti-cancer oridonin, the psychoactive salvinorin A, and bioactive marrubiin and vitexilactone-significant progress has been made. This review explores the bioactivity and biosynthesis of Lamiaceae terpenes, with a focus on mono- and diterpenes, while highlighting future research directions.

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.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.936
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.017
GPT teacher head0.293
Teacher spread0.277 · 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