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Chemical Constituents from Mushroom Suillus luteus (Agaricomycetes) and Their Bioactivities

2022· article· en· W4286373392 on OpenAlexaff
Lan Yao, Jianhua Lv, Jipeng Li, Xiaoya An, Guohui Cheng, Chang-Tian Li, Yu Li

Bibliographic record

VenueInternational journal of medicinal mushrooms · 2022
Typearticle
Languageen
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsMinistry of Education and Child Care
Fundersnot available
KeywordsMushroomEdible mushroomChemistryElectrospray ionizationAgaricomycetesStereochemistryFood scienceMass spectrometryBotanyBiologyChromatographyBasidiomycota

Abstract

fetched live from OpenAlex

Wild edible mushrooms are a huge source to discover bioactive natural products. In this work, one new polyprenylphenol derivative, termed 2-geranylgeranyl-1,4-benzenediol 1-O-acetate (1), together with eight known compounds (2-9) were isolated from wild edible mushroom Suillus luteus. The structure of new compound was elucidated by high-resolution electrospray ionization mass spectroscopy and nuclear magnetic resonance data. The structures of known compounds were elucidated by comparison of their nuclear magnetic resonance data with literature data. Compounds 1-7 exhibited significant 2,2-diphenyl-1-picrylhydrazyl free radical scavenging activity with IC50 values ranging from 1.55 ± 0.29 to 19.89 ± 2.28 μM. In addition, compounds 1-7 also showed tyrosinase inhibitory activity with IC50 values ranging from 21.97 ± 3.74 to 66.26 ± 6.85 μM.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.585
Threshold uncertainty score0.857

Codex and Gemma teacher scores by category

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

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 head0.011
GPT teacher head0.256
Teacher spread0.245 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2022
Admission routes1
Has abstractyes

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