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Record W2761377460 · doi:10.1021/acs.biomac.7b01106

Glycopolymers Bearing Galactose and Betulin: Synthesis, Encapsulation, and Lectin Recognition

2017· article· en· W2761377460 on OpenAlexafffund
Zhiyuan Ma, Yong‐Guang Jia, X. X. Zhu

Bibliographic record

VenueBiomacromolecules · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNatural product bioactivities and synthesis
Canadian institutionsUniversité de Montréal
FundersNatural Sciences and Engineering Research Council of CanadaChina Scholarship CouncilFonds Québécois de la Recherche sur la Nature et les Technologies
KeywordsCopolymerDynamic light scatteringComonomerGlycopolymerChemistryAmphiphileBetulinPolymer chemistryMicelleMonomerNile redHydrodynamic radiusPolymerizationRaftOrganic chemistryMaterials sciencePolymerNanoparticleNanotechnology

Abstract

fetched live from OpenAlex

Betulin is a natural triterpene compound with anticarcinogen and antiviral activities. It is conjugated with methacrylate and then copolymerized with a galactose-bearing comonomer by RAFT polymerization to yield both random and block copolymers. These glycopolymers are designed to possess similar molecular weights and monomer compositions for easy comparison. They self-assembled into micelles, as shown by dynamic light scattering (DLS) and transmission electron microscopy. The smaller micelles formed by the random copolymers facilitated the encapsulation of Nile Red and released more of this hydrophobic model compound (46% in 4 days versus 32% released from the block copolymers). These glycopolymers interacted with lectins, such as RCA 120, as studied by turbidity assay and DLS. The block copolymers formed larger aggregates and clustered faster than the random copolymers. The betulin-based glycopolymers may serve as biocompatible multifunctional biomaterials and carriers for use in targeted release of drugs.

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 score0.111
Threshold uncertainty score0.605

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 studies0.0010.000
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 head0.016
GPT teacher head0.249
Teacher spread0.232 · 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

Citations35
Published2017
Admission routes2
Has abstractyes

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