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Record W2136180478 · doi:10.1071/ch02047

Molecular Mimicry of Carbohydrates by Peptides

2002· article· en· W2136180478 on OpenAlexfundno aff
Mark Johnson, B. M. PINTO

Bibliographic record

VenueAustralian Journal of Chemistry · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMimicryMolecular mimicryChemistryBiochemistryCarbohydrateSupramolecular chemistryComputational biologyImmune systemBiologyGeneticsOrganic chemistryMolecule

Abstract

fetched live from OpenAlex

The use of carbohydrates as drugs and vaccines has several limitations. Molecular mimics of carbohydrates provide an alternative source of compounds to target pathways involving protein-carbohydrate interactions. In recent years, immunological studies have demonstrated the ability of certain peptides to act as molecular mimics of carbohydrates, in that they are able to induce an anti-carbohydrate immune response. Carbohydrate-mimetic peptides that bind to enzymes and lectins have also been discovered. The nature of this mimicry at the molecular level is currently the subject of investigation. Structural data regarding the origin of mimicry are reviewed, and their implications for drug and vaccine design are presented.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.466

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)0.0000.000

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 head0.013
GPT teacher head0.250
Teacher spread0.237 · 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

Citations40
Published2002
Admission routes1
Has abstractyes

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