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Record W2399105364 · doi:10.1007/978-1-61779-545-9_23

Target-Induced SOFA-HDV Ribozyme

2012· article· en· W2399105364 on OpenAlexafffund
Michel V. Lévesque, Jean‐Pierre Perreault

Bibliographic record

VenueMethods in molecular biology · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsUniversité de Sherbrooke
FundersCanadian Institutes of Health Research
KeywordsRibozymeBiologyMammalian CPEB3 ribozymeGeneticsRNAGene

Abstract

fetched live from OpenAlex

Small cis-acting ribozymes have been converted into trans-acting ribozymes possessing the ability to cleave RNA substrates. The Hepatitis Delta Virus (HDV) ribozyme is one of the rare examples of these that is derived from an RNA species that is found in human cells. Consequently, it possesses the natural ability to function in the presence of human proteins in addition to an outstanding stability in human cells, two significant advantages in its use. The development of an additional specific on/off adaptor (SOFA) has led to the production of a new generation of HDV ribozymes with improved specificities that provide a tool with significant potential for future development in the fields of both functional genomics and gene -therapy. SOFA-HDV ribozyme-based gene inactivation systems have been reported in both prokaryotic and eukaryotic cells. Here, a step-by-step approach for the efficient design of highly specific SOFA-HDV ribozymes with a minimum investment of time and effort is described.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.028
GPT teacher head0.374
Teacher spread0.347 · 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

Citations5
Published2012
Admission routes2
Has abstractyes

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