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Record W2021105398 · doi:10.1021/bc060302b

Binding of Streptavidin with Biotinylated Thermosensitive Nanospheres Based on Poly(<i>N,N</i>-diethylacrylamide-<i>co</i>-2-hydroxyethyl methacrylate)

2007· article· en· W2021105398 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBioconjugate Chemistry · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiotin and Related Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsBiotinylationStreptavidinChemistry2-Hydroxyethyl MethacrylateMethacrylateConjugateCopolymerBovine serum albuminPolymerPolymer chemistryBiotinConjugated systemChemical engineeringBiophysicsChromatographyOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

Thermosensitive polymer nanospheres based on N,N-diethylacrylamide and 2-hydroxyethyl methacrylate (HEMA) have been prepared, characterized, and conjugated with biotin. The thermosensitivity of poly(N,N-diethylacrylamide) was enhanced by the incorporation of HEMA up to about 40 mol %. Atomic force microscopic images show that these particles can be closely packed even without the surface charges as in the latex particles. Biotinylation reduces the thermosensitivity of the copolymer nanospheres. The biotinylated hydrogel nanospheres showed a reduction in size upon binding with streptavidin, indicating the formation of a less hydrophilic conjugate. No aggregation of the biotinylated particles due to the cross-linking effect of streptavidin was observed. This size change could be reversed by the addition of free biotin to the system. The interaction is specific, and no such changes were observed when streptavidin was replaced by bovine serum albumin.

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.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.006
GPT teacher head0.240
Teacher spread0.233 · 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