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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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 head0.019
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; a candidate call from one source (direct Gemma or distilled Codex), 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

Citations38
Published2002
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Plant PathologySame topicToxin Mechanisms and ImmunotoxinsFrench-language works237,207