MétaCan
Menu
Back to cohort

Mobile Group II Introns

2004· review· en· W2100581167 on OpenAlexafffund
Alan M. Lambowitz, Steven Zimmerly

Bibliographic record

VenueAnnual Review of Genetics · 2004
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsUniversity of Calgary
FundersNational Institute of General Medical SciencesNational Institutes of HealthAlberta Heritage Foundation for Medical ResearchUniversity of Texas at AustinCanadian Institutes of Health ResearchOhio State University
KeywordsGroup II intronIntronBiologyGroup I catalytic intronRNA splicingRetrotransposonMinor spliceosomeMobile genetic elementsGeneticsGenomeRNAGeneComputational biologyTransposable element

Abstract

fetched live from OpenAlex

Mobile group II introns, found in bacterial and organellar genomes, are both catalytic RNAs and retrotransposable elements. They use an extraordinary mobility mechanism in which the excised intron RNA reverse splices directly into a DNA target site and is then reverse transcribed by the intron-encoded protein. After DNA insertion, the introns remove themselves by protein-assisted, autocatalytic RNA splicing, thereby minimizing host damage. Here we discuss the experimental basis for our current understanding of group II intron mobility mechanisms, beginning with genetic observations in yeast mitochondria, and culminating with a detailed understanding of molecular mechanisms shared by organellar and bacterial group II introns. We also discuss recently discovered links between group II intron mobility and DNA replication, new insights into group II intron evolution arising from bacterial genome sequencing, and the evolutionary relationship between group II introns and both eukaryotic spliceosomal introns and non-LTR-retrotransposons. Finally, we describe the development of mobile group II introns into gene-targeting vectors, "targetrons," which have programmable target specificity.

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)0.000
metaresearch head score (Gemma)0.000
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: Review
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.005

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 head0.314
Teacher spread0.299 · 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

Citations443
Published2004
Admission routes2
Has abstractyes

Explore more

Same venueAnnual Review of GeneticsSame topicRNA and protein synthesis mechanismsFrench-language works237,207