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Record W2486366621 · doi:10.1021/bk-2010-1053.ch005

Iron Chelating Macromolecules for Intravascular Iron Chelation Therapy

2010· book-chapter· en· W2486366621 on OpenAlexaff
Nicholas A. Rossi, Jayachandran N. Kizhakkedathu

Bibliographic record

VenueACS symposium series · 2010
Typebook-chapter
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsUniversity of British ColumbiaCanadian Blood Services
Fundersnot available
KeywordsMacromoleculeRaftChelationDrug deliveryChain transferDispersityPolymerDrugChemistryPolymerizationCombinatorial chemistryMaterials sciencePolymer chemistryPharmacologyOrganic chemistryMedicineBiochemistryRadical polymerization

Abstract

fetched live from OpenAlex

The development of an iron chelating macromolecular therapeutic for intravascular delivery is reviewed, with particular emphasis on recent research by our group to design, synthesize, and evaluate a well-defined, intravenoeous, iron-chelating macromolecular therapeutic. Several crucial requirements influenced the design of the polymer to be used as a potentially effective parenteral drug. Firstly, the polymer should contain a therapeutic agent; in this case the ability to effectively chelate iron. Secondly, the polymer drug should be well-defined and easily varied in terms of both its physical characteristics (molecular weight, polydispersity) and its composition in order to influence the resulting pharmacokinetics of the drug. This was achieved using controlled polymerization via reversible addition-fragmentation chain transfer (RAFT) methods. Finally, the macromolecule should be blood compatible and degradable to allow for long circulation times and ease of clearance through the kidney.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.888
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.011
GPT teacher head0.236
Teacher spread0.225 · 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.

Study designBench or experimental
Domainnot available
GenreOther

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

Citations0
Published2010
Admission routes1
Has abstractyes

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