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Record W4321428032 · doi:10.21775/cimb.007.001

RNA Interference: Past, Present and Future

2005· review· en· W4321428032 on OpenAlexafffund

Bibliographic record

VenueCurrent Issues in Molecular Biology · 2005
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Genetics and Reproduction
Canadian institutionsUniversity of Victoria
FundersScottish Rite Charitable Foundation of Canada
KeywordsInterference (communication)RNA interferencePhysicsComputer scienceStatistical physicsRNABiologyTelecommunicationsGenetics

Abstract

fetched live from OpenAlex

RNA interference (RNAi) is the sequence-specific gene silencing induced by double-stranded RNA. RNAi is mediated by 21-23 nucleotide small interfering RNAs (siRNAs) which are produced from long double-stranded RNAs by RNAse II-like enzyme Dicer. The resulting siRNAs are incorporated into a RNA-induced silencing complex (RISC) that targets and cleaves mRNA complementary to the siRNAs. Since its inception in 1998, RNAi has been demonstrated in organisms ranging from trypanosomes to nematodes to vertebrates. Potential uses already in progress include the examination of specific gene function in living systems, the development of anti-viral and anticancer therapies, and genome-wide screens. In this review, we discuss the landmark discoveries that established the contextual framework leading up to our current understanding of RNAi. We also provide an overview of current developments and future applications.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.997
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.029
GPT teacher head0.382
Teacher spread0.354 · 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
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

Citations30
Published2005
Admission routes2
Has abstractyes

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