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Record W2430190007 · doi:10.1385/1-59259-184-1:205

Cadmium-113 and Lead-207 NMR Spectroscopic Studies of Calcium-Binding Proteins

2003· article· en· W2430190007 on OpenAlexafffund
Teresa E. Clarke, Hans J. Vogel

Bibliographic record

VenueHumana Press eBooks · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Structure and Dynamics
Canadian institutionsUniversity of TorontoUniversity of Calgary
FundersMedical Research CouncilAlberta Heritage Foundation for Medical Research
KeywordsChemistryCalciumCalcium-binding proteinBinding siteMetalloproteinIonMetalNuclear magnetic resonance spectroscopyCrystallographyCadmiumBiophysicsStereochemistryBiochemistryBiologyOrganic chemistry

Abstract

fetched live from OpenAlex

Ideally, direct NMR spectroscopic studies of the structure and dynamics of a metal binding site would utilize the ion that is naturally bound to the protein. For calcium-binding proteins, the NMR active isotope 43Ca is a quadrupolar (I = 7/2) nucleus that produces broad peaks when bound to a protein (1–4) Although much useful information can be gleaned from studies of this nucleus (3,4), it is impossible to resolve the signals for individual calcium-binding sites in a protein with multiple-binding sites. However, isomorphous replacement of the calcium ion with an ion with more favorable NMR properties often allows the resolution of NMR signals for individual sites and provides valuable insight into the coordination of the ion within the binding site from the observed shifts. 113Cd, and to a lesser extent, 207Pb, are two such I = 1/2 metal nuclei that have been successfully used to characterize the Ca2+-binding properties of a variety of metalloproteins (5–8)

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 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 score0.024
Threshold uncertainty score0.609

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 head0.050
GPT teacher head0.312
Teacher spread0.262 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2003
Admission routes2
Has abstractyes

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