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Record W4412725209 · doi:10.1002/iub.70041

The <scp>IUBMB</scp> Focused Meeting on Aminoacyl‐ <scp>tRNA</scp> Synthetases 2023

2025· editorial· en· W4412725209 on OpenAlexafffund
Patrick O’Donoghue, Ilka U. Heinemann

Bibliographic record

VenueIUBMB Life · 2025
Typeeditorial
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsChildren’s Health Research InstituteLondon Health Sciences CentreWestern University
FundersCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsHuntington Society of Canada
KeywordsChemistryBiochemistry

Abstract

fetched live from OpenAlex

By ligating amino acids to their cognate transfer RNAs (tRNAs), the aminoacyl-tRNA synthetases (AARSs) establish the genetic code in all living cells. This special issue of IUBMB Life is dedicated to the IUBMB Focused Meeting on AARSs in 2023 and includes 12 original research articles and reviews that demonstrate some of the significant advances in AARS biology that were featured at the meeting. The articles focus on the role of AARS variants in human disease, molecular evolution of AARSs, synthetic biology applications involving AARSs, and the roles of AARSs and tRNAs in regulating protein synthesis. Together these studies reveal an expanded understanding of the function of AARSs in diverse cells and organisms and the application of these discoveries to biotechnology and medicine.

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)0.002
metaresearch head score (Gemma)0.036
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.167
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.036
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0020.001
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 head0.245
Teacher spread0.235 · 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.

Study designNot applicable
Domainnot available
GenreEditorial

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

Citations0
Published2025
Admission routes2
Has abstractyes

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