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Record W2330353684 · doi:10.1021/bi3004523

Noncooperative Metalation of Metallothionein 1a and Its Isolated Domains with Zinc

2012· article· en· W2330353684 on OpenAlexaff
Duncan E. K. Sutherland, Kelly L. Summers, Martin J. Stillman

Bibliographic record

VenueBiochemistry · 2012
Typearticle
Languageen
FieldNursing
TopicTrace Elements in Health
Canadian institutionsWestern University
Fundersnot available
KeywordsMetalationMetallothioneinChemistryZincMetalloproteinDetoxification (alternative medicine)Mechanism (biology)MetalCysteineMetal ions in aqueous solutionStereochemistryBiochemistryBiophysicsBiologyEnzymeOrganic chemistry

Abstract

fetched live from OpenAlex

Mammalian metallothioneins (MTs) are a family of small cysteine-rich proteins capable of binding 7 Zn(2+) or Cd(2+) ions into two distinct domains: an N-terminal β-domain that binds 3 Zn(2+) or Cd(2+) and a C-terminal α-domain that binds 4 Zn(2+) or Cd(2+). MT has been implicated in a number of physiological functions, including metal ion homeostasis, toxic metal detoxification, and as a protective agent against oxidative stress. Conventionally, MT has been understood to coordinate metal ions in a cooperative fashion. Under this mechanism of metalation, the only species of biological relevance would be the metal-free (apo-) form of the protein and the fully metalated (holo-) form of the protein. However, an increasing body of evidence suggests that metalation occurs in a noncooperative manner. If this latter mechanism is correct, then partially metalated forms of the protein will be stable and able to take part in cellular chemistry. We report in this paper conclusive evidence that shows that biologically essential zinc binds to MT in a noncooperative manner. In addition, we report for the first time the stability of a Zn(5)-MT species. The implications of these findings are discussed in terms of the mechanism of metalation.

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 score0.002
Threshold uncertainty score0.426

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 head0.015
GPT teacher head0.286
Teacher spread0.271 · 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

Citations50
Published2012
Admission routes1
Has abstractyes

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