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Record W2075086430 · doi:10.1039/c3mt00216k

Challenging conventional wisdom: single domain metallothioneins

2014· review· en· W2075086430 on OpenAlexaff
Duncan E. K. Sutherland, Martin J. Stillman

Bibliographic record

VenueMetallomics · 2014
Typereview
Languageen
FieldNursing
TopicTrace Elements in Health
Canadian institutionsWestern University
Fundersnot available
KeywordsDomain (mathematical analysis)ChemistryMathematics

Abstract

fetched live from OpenAlex

Metallothioneins (MT) are a family of small cysteine rich proteins that have been implicated in a range of roles including toxic metal detoxification, protection against oxidative stress, and as metallochaperones are undoubtedly involved in the homeostasis of both essential zinc and copper. While complete details of all possible cellular functions are still unknown, it is clear that they must be directly related to both the accessibility and the metal-binding properties of the many cysteine residues in the protein. The most well studied MTs are of mammalian origin and consist of two domains: a β-domain with 9 cysteine residues that sequesters 3 Cd(2+), 3 Zn(2+) or 6 Cu(+) ions, and an α-domain with 11 cysteine residues that sequesters 4 Cd(2+), 4 Zn(2+) or 6 Cu(+) ions. The key to understanding the cellular importance of MT in these different roles is in a precise description of the metallation status before and during reactions. An assessment of all possible and all biologically accessible metallation states is necessary before the functional mechanistic details can be fully determined. Conventionally, it has been considered that metal ions bind in a domain-specific and, therefore, cooperative manner, where the apparently isolated domains fill with their full complement of metal ions immediately with no discernible or measurable intermediates. A number of detailed mechanistic studies of the metallation reactions of mammalian MTs have provided significant insight into the metallation reactions. Recent results from electrospray ionization mass spectrometric studies of the stepwise metallation of the two fragments and the whole protein with Zn(2+), Cd(2+), As(3+) and Bi(3+) indicate a noncooperative mechanism of a declining series of K(F)'s. Of particular note are new details about the early stages of the stepwise metallation reactions, specifically the stability of partially metallated species for As(3+), Cd(2+), and Zn(2+) that do not correspond to the two-domain model. In addition, at the other end of the coordination spectrum are the supermetallated species of MT, where supermetallation defines metallation in excess of traditional levels. It has been reported that with metal ion excess the formation of a single 'super domain' is possible and again this deviates from the two-domain model of MT. In both cases, these results suggest that the structural view of mammalian MT that is of two essentially isolated domains may be the exceptional case and that under the normal conditions of cellular metal-ion concentrations the two domain structure might coexist in equilibrium with various single domain, multi-metal site structures. This review specifically focuses on providing context for these recent studies and the new ideas concerning metallation prior to the establishment of domain-based clusters that these studies suggest.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.031
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.163

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.049
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.001
Science and technology studies0.0030.027
Scholarly communication0.0060.023
Open science0.0050.007
Research integrity0.0120.038
Insufficient payload (model declined to judge)0.0060.006

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 head0.090
GPT teacher head0.369
Teacher spread0.279 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations38
Published2014
Admission routes1
Has abstractyes

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