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Record W1983560601 · doi:10.1039/c2dt32558f

Engineered metalloregulation of azide binding affinity and reduction potential of horse heart myoglobin

2012· article· en· W1983560601 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

VenueDalton Transactions · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHemoglobin structure and function
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMyoglobinAzideChemistryElectrochemistryMetalLigand (biochemistry)Binding siteMetal ions in aqueous solutionHemeproteinHemeCrystallographyInorganic chemistryElectrodeBiochemistryPhysical chemistryEnzymeOrganic chemistry

Abstract

fetched live from OpenAlex

Metal ion binding to a previously reported variant of horse heart myoglobin (Lys45Glu/Lys63Glu) with a metal ion binding site on the surface of the protein that is adjacent to the haem binding site has been shown to influence ligand binding and electrochemical properties of the protein. For example, the K(d) (μM) for binding of azide to this variant decreases from 277 ± 9 to 32 ± 3 following addition of a saturating concentration of Mn(2+) (the value for the wild-type protein under the same conditions is 26 ± 1). Similarly, the midpoint reduction potential E(m) (mV vs. standard hydrogen electrode) increases from 9 to 40 in the presence of a saturating concentration of Mn(2+) (the value for the wild-type protein under the same conditions is 45 ± 2). These results demonstrate the potential value of engineered metal ion binding sites as a means of regulating the functional properties of even simple haem proteins.

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 score0.063
Threshold uncertainty score0.346

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 head0.009
GPT teacher head0.227
Teacher spread0.218 · 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