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Record W2089063761 · doi:10.2174/156802605774643015

Bioactive C-Glycosides from Bacterial Secondary Metabolism

2005· review· en· W2089063761 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Topics in Medicinal Chemistry · 2005
Typereview
Languageen
FieldChemistry
TopicCarbohydrate Chemistry and Synthesis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsGlycosidic bondBiosynthesisGlycosideGlycosyltransferaseStreptomycesBacteriaChemistryBiochemistryComputational biologyBiologyGeneStereochemistryGeneticsEnzyme

Abstract

fetched live from OpenAlex

C-Glycosides are commonly regarded as unusual structures, but they are far more prevalent among natural products than is imagined. This review discusses the C-glycosidic compounds produced by various bacteria, particularly the "biosynthetically talented" Streptomyces. The major structure types are presented, along with brief descriptions of the known biological and pharmacological properties of the compounds. Recent work has uncovered the genetic basis for the biosynthesis of several bacterial C-glycosides, and emphasis is placed on those cases where it has been possible to identify (at least provisionally) the C-glycosyltransferase in the pathway. Prospects for biosynthetic engineering, combinatorial biosynthesis, or glycorandomization in C-glycosidic natural products are briefly discussed.

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.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.977
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0140.000

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 head0.052
GPT teacher head0.332
Teacher spread0.280 · 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