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Record W2772528715 · doi:10.1089/nat.2017.0702

Structural Studies and Gene Silencing Activity of siRNAs Containing Cationic Phosphoramidate Linkages

2017· article· en· W2772528715 on OpenAlexaff
Danielle Vlaho, Masad J. Damha

Bibliographic record

VenueNucleic Acid Therapeutics · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsMcGill University
Fundersnot available
KeywordsPhosphoramidateGene silencingCationic polymerizationSmall interfering RNAGeneChemistryBiologyTransfectionComputational biologyCell biologyBiochemistry

Abstract

fetched live from OpenAlex

A series of siRNA duplexes containing cationic non-bridging 3',5'-linked phosphoramidate (PN) linkages was designed and synthesized using a combination of phosphoramidite and H-phosphonate chemistries. Modified oligonucleotides were assayed for their thermal stability, helical structure, and ability to modulate the expression of firefly luciferase. We demonstrate that PN modifications of siRNAs are, in general, minimally destabilizing with respect to duplex thermal stability; destabilization can be mitigated through the incorporation of 2'-modified RNA-like residues or PN conjugates containing ionizable pendant moieties. We also demonstrate that single cationic dimethylethylenediamine PN linkages have little effect on siRNA potency, whether located in the passenger or guide strand of the duplex. Highly modified siRNA passenger strands were further modified with up to four cationic PN linkages, with little effect on duplex potency or helical structure. We envision that PN modifications could be useful in the production of therapeutic siRNAs with optimal biological properties.

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 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 score0.034
Threshold uncertainty score0.473

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.050
GPT teacher head0.326
Teacher spread0.275 · 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

Citations19
Published2017
Admission routes1
Has abstractyes

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