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Record W2086739899 · doi:10.1039/c0ob01089h

Multifunctional multivalency: a focused library of polymeric cholera toxin antagonists

2011· article· en· W2086739899 on OpenAlexafffund
Huu-Anh Tran, Pavel I. Kitov, Eugenia Paszkiewicz, Joanna Sadowska, David R. Bundle

Bibliographic record

VenueOrganic & Biomolecular Chemistry · 2011
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsAlberta Glycomics CentreUniversity of Alberta
FundersAlberta InnovatesAlberta Glycomics CentreBill and Melinda Gates Foundation
KeywordsChemistryCholera toxinConjugateGalactoseToxinCombinatorial chemistryDextranStereochemistryBiochemistryMicrobiology

Abstract

fetched live from OpenAlex

Structural pre-organization of the multivalent ligands is important for successful interaction with multimeric proteins. Polymer-based heterobifunctional ligands that contain pendant groups prearranged into heterodimers can be used to probe the active site and surrounding area of the receptor. Here we describe the synthesis and activities of a series of galactose conjugates on polyacrylamide and dextran. Conjugation of a second fragment resulted in nanomolar inhibitors of cholera toxin, while the galactose-only progenitors showed no detectable activity.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0010.001

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 head0.022
GPT teacher head0.251
Teacher spread0.229 · 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

Citations40
Published2011
Admission routes2
Has abstractyes

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