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Record W4254536002 · doi:10.1002/0471140864.ps0903s52

Affinity Purification of Natural Ligands

2008· article· en· W4254536002 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

VenueCurrent Protocols in Protein Science · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsNational Research Council CanadaBiotechnology Research Institute
Fundersnot available
KeywordsChemistryCyanuric chlorideCyanogen bromideCovalent bondAgaroseGlyoxalAmine gas treatingChlorideNucleic acidLigand (biochemistry)Combinatorial chemistryPolymer chemistryOrganic chemistryChromatographyBiochemistry

Abstract

fetched live from OpenAlex

Abstract Immobilization of proteins, nucleic acids, and other bioligands is not always straightforward since they are often large molecules with numerous chemically reactive groups that can all participate in the immobilization process through physical adsorption, ionic binding, or covalent linkage. Protocols for some of the most frequently used matrix‐activation systems are described in this unit. For agarose, protocols are given for cyanogen bromide, p ‐nitrophenyl chloroformate, tresyl chloride, and cyanuric chloride. Tosyl chloride is used to activate cellulose, and cyanuric chloride is also used to activate aminopropyl silica gel. Activation of magnetic beads with cyanogen bromide is described, and a protocol is provided for reacting the aldehyde groups of glyoxal agarose beads with the primary amine groups of ligands, with subsequent reduction of the formed Schiff base to yield a stable matrix‐ligand bond. Curr. Protoc. Protein Sci . 52:9.3.1‐9.3.22. © 2008 by John Wiley & Sons, Inc.

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)0.001
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 score0.011
Threshold uncertainty score0.360

Codex and Gemma teacher scores by category

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

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 head0.056
GPT teacher head0.380
Teacher spread0.324 · 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