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Record W2090233918 · doi:10.1002/cbic.200900786

A Versatile Endoribonuclease Mimic Made of DNA: Characteristics and Applications of the 8–17 RNA‐Cleaving DNAzyme

2010· review· en· W2090233918 on OpenAlexafffund
Kenny Schlosser, Yingfu Li

Bibliographic record

VenueChemBioChem · 2010
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsMcMaster UniversityOttawa HospitalUniversity of Ottawa
FundersCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsDeoxyribozymeRNANucleic acidDNABiochemistryRibozymeEndoribonucleaseEnzymeComputational biologyChemistryNanotechnologyBiologyRNase PGeneMaterials science

Abstract

fetched live from OpenAlex

Enzymes play a crucial role in all living organisms by accelerating the rates of a myriad of biochemical reactions that are necessary to sustain life. Although the vast majority of known enzymes are made of protein, in recent years it has become increasingly apparent that other molecular formats, like nucleic acids, can also serve in this capacity. DNAzymes (also known as deoxyribozymes) are synthetic enzymes made of short, single strands of deoxyribonucleic acid. These DNA-based enzymes offer the prospect of significant commercial utility, because they are exceptionally stable and can be produced very easily and inexpensively. The study of one particular DNAzyme, known as "8-17", has enhanced our understanding of DNAzyme-mediated catalysis. Moreover, the function of 8-17 has been regarded with special importance because it can catalyze sequence-specific cleavage of RNA, a reaction that has broad implications in biotechnology and biomedical fields. In this review, we explore the creation, characterization, and application of the 8-17 RNA-cleaving DNAzyme.

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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.001
Threshold uncertainty score0.003

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.012
GPT teacher head0.278
Teacher spread0.266 · 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
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

Citations140
Published2010
Admission routes2
Has abstractyes

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