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Ribosome biogenesis; the KsgA protein throws a methyl‐mediated switch in ribosome assembly

2008· letter· en· W2071877684 on OpenAlexaff
Chand S. Mangat, Eric D. Brown

Bibliographic record

VenueMolecular Microbiology · 2008
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBiologyRibosome biogenesisRibosomeBiogenesisTranslation (biology)Cell biologyComputational biologyGeneticsRNAMessenger RNA

Abstract

fetched live from OpenAlex

Many trans-acting factors that aid in ribosome biogenesis have been identified in higher organisms but relatively few such factors are known in prokaryotes. In bacteria, the list of such factors includes ATP-energized helicases and chaperones as well as an emerging cadre of switch GTPases. The KsgA protein is a universally conserved methyltransferase that dimethylates both A1518 and A1519 of the 16S rRNA of the small ribosomal subunit. Methylation has long been thought to be solely for fine-tuning of protein translation. In this issue of Molecular Microbiology, Connolly et al. present data suggesting KsgA might function in the assembly of the small subunit of the ribosome. Indeed, the work indicates that KsgA might have a checkpoint role in ribosome biogenesis where methylation by this protein marks the completion of its assembly role. These findings open our thinking to new candidate assembly factors and provide a new direction for understanding ribosome assembly.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0150.008
Insufficient payload (model declined to judge)0.0050.006

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 head0.011
GPT teacher head0.220
Teacher spread0.209 · 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 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

Citations18
Published2008
Admission routes1
Has abstractyes

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