MétaCan
Menu
Back to cohort
Record W2325913129 · doi:10.2533/chimia.2011.770

Expanding the Catalytic Repertoire of DNAzymes by Modified Nucleosides

2011· article· en· W2325913129 on OpenAlexfundno aff
Marcel Hollenstein

Bibliographic record

VenueCHIMIA International Journal for Chemistry · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchUniversity of BernSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsDeoxyribozymeNucleic acidOligonucleotideCombinatorial chemistryNucleosideAptamerChemistryRNACatalysisBiochemistryDNABiologyMolecular biology

Abstract

fetched live from OpenAlex

Modified nucleoside triphosphates (dNTPs) are a versatile platform for the generation of high-density functionalized nucleic acids. The enzymatic polymerization of dNTPs allows the introduction of sensible functionalities that might not be compatible with the standard automated synthesis of oligonucleotides. Their application to in vitro selections, an elegant chemical approach to Darwinian evolution, delivers modified aptamers and catalytic nucleic acids with potentially enhanced properties. This review article highlights some recent synthetic examples of dNTPs bearing functionalities that are either found in the active site of protein enzymes or have been employed in organocatalysis and further underscores their usefulness in the development of some modified catalytic nucleic acids with special emphasis on M(2+)-independent RNA-cleaving DNAzymes.

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)0.001
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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.019
GPT teacher head0.291
Teacher spread0.271 · 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

Citations8
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueCHIMIA International Journal for ChemistrySame topicAdvanced biosensing and bioanalysis techniquesFrench-language works237,207