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Exploring Lichen-Fungi Biosynthetic Pathways: Evaluating thePharmacological Activity of Olivetoric Acid and Biosynthetically SimilarMetabolites

2025· article· en· W4408003922 on OpenAlexaff
Susan Egbert, Ji-Yeon Hwang, Garima Singh, Khaldoun S. Abdelwahed, Lucas Gabriel Barboza Segato, Zane Walker, Libby-Ann Sahadeo, John L. Sorensen

Bibliographic record

VenueMini-Reviews in Organic Chemistry · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLichen and fungal ecology
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsLichenMetabolic pathwayBiologyBiochemistryComputational biologyChemistryMetabolismBotany

Abstract

fetched live from OpenAlex

Lichens, symbiotic organisms, produce a diverse array of bioactive compounds, including depsides and depsidones. These compounds exhibit potent biological activities, such as antioxidant, antimicrobial, anti-inflammatory, and anticancer properties. This review explores the biosynthesis of specific compounds, focusing on the role of polyketide synthases and cytochrome P450 enzymes. The majority of the review will focus on the pharmacological potential of olive-toric acid and biosynthetically similar compounds, highlighting their potential as future drug leads. Further research is needed to exploit the therapeutic potential of these natural products fully.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.102
GPT teacher head0.291
Teacher spread0.189 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations0
Published2025
Admission routes1
Has abstractyes

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