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Record W2031282520 · doi:10.2174/1568026023393110

Flexible and Frozen Sugar-Modified Nucleic Acids - Modulation of Biological Activity Through Furanose Ring Dynamics in the Antisense Strand

2002· review· en· W2031282520 on OpenAlexaff
Maria Mangos, Masad J. Damha

Bibliographic record

VenueCurrent Topics in Medicinal Chemistry · 2002
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA and Nucleic Acid Chemistry
Canadian institutionsMcGill University
Fundersnot available
KeywordsRNase HRNase PNucleic acidRNAOligonucleotideSense (electronics)BiochemistryTranscription (linguistics)DNANucleic acid structureRibonucleaseChemistryBiologyComputational biologyCell biologyGene

Abstract

fetched live from OpenAlex

A comparison of carbohydrate modified nucleic acids has identified key structural characteristics in antisense oligonucleotides (AON) that are necessary for sufficient clinical utility, including increased duplex stability towards RNA complements and improved hydrolytic resistance towards general serum and cellular nucleases. As such, the exogenous addition of short, synthetic oligonucleotides can influence cellular RNA metabolism at any or all levels of replication, transcription or translation by tight and specific hybridization with a chosen target and subsequently stop further function at that site. Furthermore, appropriate modification of the sugar residue may prove to be a vital design element in future AONs that operate by promoting enzyme assisted catalytic destruction of the mRNA target. Unfortunately, many of the current AON designs have provided little insight on the particular structural role of the AON towards enzymatic discrimination of the resultant hybrid. The use of RNase H as a cellular vehicle to assist the inhibitory potency of an AON as well as possible ways of enhancing activity in pre-existing antisense candidates are presented. Of the emerging criteria in this aspect, a balance between flexibility and rigidity within the AON appears to be a critical mediator of the RNase H assisted antisense effect. Accordingly, this review describes the conformational features and selected biological attributes of some of the more prominent AON contenders with a focus on the conformational criteria by which ribonuclease H activity is recruited to a particular hybrid target.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.958
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 integrity0.0010.001
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 head0.069
GPT teacher head0.348
Teacher spread0.279 · 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 designOther design
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

Citations23
Published2002
Admission routes1
Has abstractyes

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