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Record W1981453679 · doi:10.1021/bm701208p

Unimolecular Micelles Based On Hydrophobically Derivatized Hyperbranched Polyglycerols: Ligand Binding Properties

2008· article· en· W1981453679 on OpenAlexaff
Rajesh K. Kainthan, Clement Mugabe, Helen M. Burt, Donald E. Brooks

Bibliographic record

VenueBiomacromolecules · 2008
Typearticle
Languageen
FieldMaterials Science
TopicDendrimers and Hyperbranched Polymers
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMicelleChemistryPolymerPolyethylene glycolAqueous solutionPolymer chemistryHuman serum albuminCopolymerLigand (biochemistry)MoleculeOrganic chemistryChromatography

Abstract

fetched live from OpenAlex

This paper discusses the binding and release properties of hydrophobically modified hyperbranched polyglycerol-polyethylene glycol copolymers that were originally developed as human serum albumin (HSA) substitutes. Their unimolecular micellar nature in aqueous solution has been proven by size measurements and other spectroscopic methods. These polymers aggregate weakly in solution, but the aggregates are broken down by low shear forces or by encapsulating a hydrophobic ligand within the polymer. The small molecule binding properties of these polymers are compared with those of HSA. The preliminary in vitro paclitaxel release studies showed very promising sustained drug release characteristics achieved by these unimolecular micelles.

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 communication0.0000.001
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 head0.023
GPT teacher head0.215
Teacher spread0.192 · 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

Citations100
Published2008
Admission routes1
Has abstractyes

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