MétaCan
Menu
Back to cohort
Record W2026121111 · doi:10.1002/jbm.a.32241

Triggered release of small molecules from proteinoid microspheres

2008· article· en· W2026121111 on OpenAlexaff
Stephen Quirk

Bibliographic record

VenueJournal of Biomedical Materials Research Part A · 2008
Typearticle
Languageen
FieldChemistry
Topicthermodynamics and calorimetric analyses
Canadian institutionsKimberly-Clark (Canada)
Fundersnot available
KeywordsMaterials scienceMicrosphereReagentCombinatorial chemistryMoleculeReducing agentNanotechnologySmall moleculeAmino acidChemical engineeringOrganic chemistryChemistryBiochemistry

Abstract

fetched live from OpenAlex

Proteinoid microspheres (PM) are formed by the thermal condensation of amino acids. They have been useful to further evolutionary theory, as catalysts for some biochemical reactions, but they have not been overly useful as controlled delivery agents. It is possible however to construct PMs that contain organic small molecules in the interior space. This means that a PM could be used as a delivery agent, if a suitable method could be discovered to cause the release of the internal material. This report describes the formation of a PM that includes a molecular bridging agent that can be removed in a reducing environment. Removal of the bridge opens a hole or window in the PM that allows the interior material to escape. The rate at which the interior material is released from the PM can be controlled by the size of the window or by the reduction potential in the environment. These PMs can be used to temporally treat a variety of complications including wounds (chronic or acute) by delivering a sequestered reagent in a controlled manner and are advantageous in that amino acids are the primary delivery vehicle breakdown product.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.011
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.067
GPT teacher head0.323
Teacher spread0.256 · 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
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

Citations13
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Biomedical Materials Research Part ASame topicthermodynamics and calorimetric analysesFrench-language works237,207