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Record W3143768062 · doi:10.1039/d1cc01231b

<sup>19</sup>F-Tagged metal binding pharmacophores for NMR screening of metalloenzymes

2021· article· en· W3143768062 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueChemical Communications · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme function and inhibition
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaNational Institute of Allergy and Infectious DiseasesNational Defense Science and Engineering GraduateAchievement Rewards for College Scientists Foundation
KeywordsPharmacophoreChemistryFluorine-19 NMRCarbonic anhydrase IICarbonic anhydraseLigand (biochemistry)MetalStereochemistryMetalloproteinNuclear magnetic resonance spectroscopyCombinatorial chemistryEnzymeBiochemistryOrganic chemistryReceptor

Abstract

fetched live from OpenAlex

This study demonstrates the screening of a collection of twelve 19F-tagged metal-binding pharmacophores (MBPs) against the Zn(ii)-dependent metalloenzyme human carbonic anhydrase II (hCAII) by 19F NMR. The isomorphous replacement of Zn(ii) by Co(ii) in hCAII produces enhanced sensitivity and reveals the potential of 19F NMR-based techniques for metalloenzyme ligand discovery.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.097
Threshold uncertainty score0.473

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.048
GPT teacher head0.320
Teacher spread0.272 · 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