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Record W4211209152 · doi:10.24124/2017/1366

British Columbian wild mushrooms as potent source of novel natural anti-cancer compounds

2017· dissertation· en· W4211209152 on OpenAlexaff
Ankush Barad

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsMushroomCancerCancer cellChemistryBiologyBiochemistryTraditional medicineBotanyMedicine

Abstract

fetched live from OpenAlex

Worldwide, many fungal species have been used for their medicinal properties by various cultures for centuries. Major challenges with cancer chemotherapy, which includes toxicity, non-specificity and several adverse effects have motivated researchers to search for novel anti-cancer compounds from natural sources. Several studies have identified various anti-cancer compounds from mushrooms in many parts of the world, but mushrooms occurring in British Columbia remain unstudied for their anti-cancer activities. In this thesis, five mushroom species were collected, extracted, and assessed for anti-proliferative and immuno-stimulatory activities. Eleven extracts from these species showed anti-proliferative or immuno-stimulatory activity or both. Sodium hydroxide extract from Paxillus obscurisporus exhibited potent anti-proliferative activity and was further purified using size-exclusion and anion-exchange chromatography. Analysis of the relatively pure anti-proliferative fractions suggests the presence of protein and glycoprotein moieties. Further purification and characterisation is needed before these compounds can be tested for biomedical purposes in the future.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.755
Threshold uncertainty score1.000

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 integrity0.0000.000
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 head0.015
GPT teacher head0.308
Teacher spread0.293 · 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 designObservational
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

Citations2
Published2017
Admission routes1
Has abstractyes

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