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Record W2318040934 · doi:10.1021/ml500260j

Conjugation and Evaluation of Small Hydrophobic Molecules to Triazole-Linked siRNAs

2014· article· en· W2318040934 on OpenAlexafffund
Brandon Peel, Gordon Hagen, Kalaivani Krishnamurthy, Jean‐Paul Desaulniers

Bibliographic record

VenueACS Medicinal Chemistry Letters · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsOntario Tech University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Foundation for Innovation
KeywordsSmall interfering RNAGene silencingRNA interferenceChemistryLuciferaseCell biologyRNATransfectionBiologyGeneBiochemistry

Abstract

fetched live from OpenAlex

Short interfering RNAs (siRNAs) have tremendous potential as a new class of next-generation therapeutics; however, their progress is lagging due to issues related to stability, biodistribution, and cell-membrane permeability. To overcome these issues, there is widespread interest in chemically modifying siRNAs. In this study, siRNAs that contain a triazole-backbone unit with pyrimidine-modified hydrophobic substituents were synthesized and examined for their gene-silencing activity. In our study, we generated a library of siRNAs that target both a plasmid reporter system and an endogenous gene target, bcl-2. Our results indicate that these unique modifications are well tolerated within the RNA interference pathway. In addition, a cholesterol-modified triazole-linked siRNA targeting the exogenous target firefly luciferase was capable of gene-silencing at levels greater than 80% in the absence of a carrier complex.

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 score0.514

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 head0.018
GPT teacher head0.259
Teacher spread0.241 · 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

Citations15
Published2014
Admission routes2
Has abstractyes

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