MétaCan
Menu
Back to cohort
Record W2145931873 · doi:10.1517/14712598.1.4.583

Block copolymeric biotransport carriers as versatile vehicles for drug delivery

2001· review· en· W2145931873 on OpenAlexaff
Valery Yu. Alakhov, Pierre Lemieux, Evgueni Klinski, Alexander V. Kabanov, Grzegorz Pietrzyński

Bibliographic record

VenueExpert Opinion on Biological Therapy · 2001
Typereview
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsSupratek Pharma (Canada)
Fundersnot available
KeywordsCopolymerAmphiphileFlexibility (engineering)Drug deliveryBlock (permutation group theory)DrugDrug carrierCombinatorial chemistryNanotechnologyComputer scienceChemistryMaterials scienceBiochemical engineeringMathematicsPharmacologyPolymerOrganic chemistryEngineeringBiology

Abstract

fetched live from OpenAlex

This review describes block copolymer-based systems that are used in drug formulation development. The use of amphiphilic block copolymers to modify pharmacological performance of various classes of drugs attracts more and more attention. This is largely attributable to the high tendency of block copolymer-based drug formulations to self-assemble, as well as flexibility of block copolymer chemistry, which allows precise tailoring of the carrier to virtually any chemical entity. Combination of these features allows adjustment of block copolymer-based drug formulations to achieve the most beneficial balance in drug biological interactions with the systems that control its circulation in and removal from the body and its therapeutic activity. The following major aspects are considered: 1) physical properties of formulations and the methods used to adjust these properties towards the highest pharmacological performance of the product; 2) combinatorial methods for optimisation of block copolymer-based formulations; 3) biological response modifying properties of block copolymer-based formulations.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.004

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 head0.086
GPT teacher head0.352
Teacher spread0.267 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations61
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueExpert Opinion on Biological TherapySame topicAdvanced Polymer Synthesis and CharacterizationFrench-language works237,207