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Record W2072611099 · doi:10.1080/07060660109506966

Biologically active compounds from European mistletoe (<i>Viscum album</i>L.)<sup>1</sup>

2002· article· en· W2072611099 on OpenAlexvenueno aff
J. Renata Ochocka, Arkadiusz Piotrowski

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2002
Typearticle
Languageen
FieldImmunology and Microbiology
TopicToxin Mechanisms and Immunotoxins
Canadian institutionsnot available
Fundersnot available
KeywordsViscum albumBiological activityBiologyCytotoxic T cellRibosome-inactivating proteinIn vivoIn vitroTraditional medicineBiochemistryChemistryPharmacologyBotanyRibosomeMedicineEcologyBiotechnology

Abstract

fetched live from OpenAlex

European mistletoe (Viscum album L.) is a commonly occurring semiparasite of trees. The extracts from European mistletoe have been shown to possess immunostimulatory and cytotoxic activity on tumor cells, and are used in Europe in adjuvant cancer therapy. Recently, a number of studies performed have been leading to the identification and characterization of bioactive compounds. Apoptosis-inducing and ribosome-inactivating lectins as well as cytotoxic thionins (viscotoxins) are the main groups of compounds participating in biological activity of V. album. These compounds were isolated and studied in vitro and in vivo for their biological activity and mechanism of action. A comparison of the results to those using whole extracts indicated that lectins and viscotoxins are not the only bioactive compounds present in the mistletoe and among them, high heterogeneity is observed in both structure and activity. In this paper, we review the current state of the art in mistletoe studies, emphasizing its potential application as a drug, its standardization, and taxonomic problems. The nontherapeutic applications and suspected physiological functions of the compounds in question are also discussed briefly.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.803
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.019
GPT teacher head0.187
Teacher spread0.169 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations38
Published2002
Admission routes1
Has abstractyes

Explore more

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