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Record W2179327795 · doi:10.1002/macp.201500211

Influence of Hydrophobic Dendrimer Core Structure on the Itraconazole Encapsulation Efficiency

2015· article· en· W2179327795 on OpenAlexafffund
Igor Elkin, Jean‐Michel Rabanel, Patrice Hildgen

Bibliographic record

VenueMacromolecular Chemistry and Physics · 2015
Typearticle
Languageen
FieldMaterials Science
TopicDendrimers and Hyperbranched Polymers
Canadian institutionsUniversité de Montréal
FundersFonds Québécois de la Recherche sur la Nature et les Technologies
KeywordsDendrimerChemistryDrug deliveryMoleculePolyesterItraconazoleChemical engineeringPolymer chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

New polyester‐ co ‐polyether dendritic macromolecules of first generation characterized by different flexibility of their central part (core) are synthesized and proposed as simplified models of new drug encapsulation agents for itraconazole (ITZ), an antifongic agent. Chemical structures of obtained products are characterized by FTIR, UV–vis, 1 H and 13 C NMR, and GPC techniques, as well as by elemental analysis and mass spectrometry. The absence of cytotoxicity limitation for further applications in drug delivery is evidenced by the results of MTT assay on the murine macrophage cell line RAW‐262.7. To elucidate the role of hydrophobic core structure of dendrimers in the process of ITZ encapsulation, the in silico simulations with reduced model structures are performed. The results of studies in vitro and in silico are found consistent, suggesting that the drug encapsulation efficiency can be determined by the possibility of an effective bending of hydrophobic central core segments of dendrimer around ITZ molecule. image

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 score0.002
Threshold uncertainty score0.417

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 head0.227
Teacher spread0.215 · 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

Citations7
Published2015
Admission routes2
Has abstractyes

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