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Structural Analysis of Ribozymes

2000· other· en· W4247811003 on OpenAlex
Jonathan Ouellet, Sirinart Ananvoranich, Jean‐Pierre Perreault

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEncyclopedia of Analytical Chemistry · 2000
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsUniversité de SherbrookeUniversity of Windsor
FundersLuonnontieteiden ja Tekniikan Tutkimuksen ToimikuntaCanadian Institutes of Health ResearchMedical Research Council CanadaCanada Research ChairsUniversité de Sherbrooke
KeywordsRibozymeLigase ribozymeRNAComputational biologyHairpin ribozymeNucleic acid structureMammalian CPEB3 ribozymeFunction (biology)BiologyChemistryBiochemistryGeneticsGene

Abstract

fetched live from OpenAlex

Ribozymes are a family of ribonucleic acid (RNA) molecules that possess various catalytic capabilities. The various methodologies described in this article are presented in the order of their requirement for determination of the structure/function relationship of a ribozyme, beginning with the preparation of the RNA molecules required for the studies. Primary structure information is needed in order to identify potential ribozymes, whereas secondary and tertiary structures inform ribozyme characterization. The procedures described later are meant to guide investigators from the initial observation of RNA catalytic activity, i.e. ribozyme discovery, to the deduction of a structural model of the small RNA molecules. Here, hepatitis delta virus (HDV) ribozyme was used as a suitable model to illustrate the various steps involved in the structural analysis.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.108
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0100.000

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 head0.006
GPT teacher head0.240
Teacher spread0.234 · 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