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Record W1998923554 · doi:10.2174/1386207023330192

Frontal Affinity Chromatography for the Screening of Mixtures

2002· article· en· W1998923554 on OpenAlexaff
Nora W. C. Chan, Darren Lewis, S. Hewko, Ole Hindsgaul, David C. Schriemer

Bibliographic record

VenueCombinatorial Chemistry & High Throughput Screening · 2002
Typearticle
Languageen
FieldChemistry
TopicAnalytical Chemistry and Chromatography
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBiotinylationChemistryChromatographyDiastereomerMass spectrometryStreptavidinAffinity chromatographyStereochemistryOrganic chemistryBiotinBiochemistryEnzyme

Abstract

fetched live from OpenAlex

A protein stationary phase for frontal affinity chromatography was prepared, containing biotinylated beta-galactosidase immobilized to controlled pore glass beads via covalently bonded streptavidin. Single microaffinity columns of approximately 30 pmol of active beta-galactosidase were prepared from this material and characterized with a known ligand by frontal analysis. These columns were used to measure the specific interactions between the bound beta-galactosidase and a library of modified beta-galactopyranosides using electrospray mass spectrometry as the means of detection. The library contained 89 entries, each representing 4 diastereomers for a total of 356 library members. A single entry was analysed revealing differential activity among the 4 isomers. The library was grouped into 10 mixtures of 24-40 members each with each mixture infused under frontal chromatographic conditions. This deconvolution procedure led to the identification of 34 entries containing isomers with K(d) values better than 10 microM. A method based on a displacement principle was implemented as a rapid prescreen which served as the basis for a parallel column high throughput screening assay.

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), Insufficient 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 score0.102
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.023
GPT teacher head0.234
Teacher spread0.211 · 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

Citations27
Published2002
Admission routes1
Has abstractyes

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