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Record W2326666183 · doi:10.1021/jo502948t

Synthesis and Properties of 2′-Deoxy-2′,4′-difluoroarabinose-Modified Nucleic Acids

2015· article· en· W2326666183 on OpenAlexafffund
Saúl Martínez‐Montero, Glen F. Deleavey, Arden Dierker-Viik, Petra Lindovská, Tatiana V. Ilina, Guillem Portella, Modesto Orozco, Michael A. Parniak, Carlos González, Masad J. Damha

Bibliographic record

VenueThe Journal of Organic Chemistry · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA and Nucleic Acid Chemistry
Canadian institutionsMcGill University
FundersNational Institute of Allergy and Infectious DiseasesNational Institute of General Medical SciencesNatural Sciences and Engineering Research Council of Canada
KeywordsDNAChemistryNucleic acidRNAStereochemistryRNase HNucleotideRNase PReverse transcriptaseMolecular biologyBiochemistryBiologyGene

Abstract

fetched live from OpenAlex

We report the synthesis, thermal stability, and RNase H substrate activity of 2'-deoxy-2',4'-difluoroarabino-modified nucleic acids. 2'-Deoxy-2',4'-difluoroarabinouridine (2,'4'-diF-araU) was prepared in a stereoselective way in six steps from 2'-deoxy-2'-fluoroarabinouridine (2'-F-araU). NMR analysis and quantum mechanical calculations at the nucleoside level reveal that introduction of 4'-fluorine introduces a strong bias toward the North conformation, despite the presence of the 2'-βF, which generally steers the sugar pucker toward the South/East conformation. Incorporation of the novel monomer into DNA results on a neutral to slightly stabilizing thermal effect on DNA-RNA hybrids. Insertion of 2',4'-diF-araU nucleotides in the DNA strand of a DNA-RNA hybrid decreases the rate of both human and HIV reverse transcriptase-associated RNase H-mediated cleavage of the complement RNA strand compared to that for an all-DNA strand or a DNA strand containing the corresponding 2'-F-araU nucleotide units, consistent with the notion that a 4'-fluorine in 2'-F-araU switches the preferred sugar conformation from DNA-like (South/East) to RNA-like (North).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.004
Threshold uncertainty score0.462

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.016
GPT teacher head0.213
Teacher spread0.198 · 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.

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

Citations39
Published2015
Admission routes2
Has abstractyes

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