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Record W1964893128 · doi:10.1002/anie.201310509

Cover Picture: Recoding the Genetic Code with Selenocysteine (Angew. Chem. Int. Ed. 1/2014)

2013· paratext· en· W1964893128 on OpenAlexaff
Markus J. Bröcker, Joanne M. L. Ho, George M. Church, Dieter Söll, Patrick O’Donoghue

Bibliographic record

VenueAngewandte Chemie International Edition · 2013
Typeparatext
Languageen
FieldNursing
TopicSelenium in Biological Systems
Canadian institutionsWestern University
Fundersnot available
KeywordsSelenocysteineCover (algebra)Genetic codeStop codonSelenoproteinTranslation (biology)Transfer RNAGeneticsChemistryBiologyBiochemistryAmino acidRNAGeneEnzymeMessenger RNAEngineering

Abstract

fetched live from OpenAlex

Named after Selene, goddess of the moon selenocysteine (Sec) is unique in its unrivaled catalytic power and its insertion into proteins by redefinition of specific UGA stop codons to Sec. In their Communication on page 319 ff., D. Söll, P. O'Donoghue et al. describe the engineering of the Sec-insertion machinery to redefine nearly all 64 codons. Here, the ring-shaped decameric selenocysteine synthase SeIA is essential in providing tRNA-bound Sec as the central building block for selenoprotein translation.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.353
Threshold uncertainty score0.923

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0030.004
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3530.253

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 head0.016
GPT teacher head0.259
Teacher spread0.243 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations912
Published2013
Admission routes1
Has abstractyes

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