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Record W2083384607 · doi:10.1139/v09-028

Hydrogen-bond self-assembly of DNA-base analogues — Experimental results

2009· article· en· W2083384607 on OpenAlexaffvenue
Felaniaina Rakotondradany, Hanadi F. Sleiman, M. A. Whitehead

Bibliographic record

VenueCanadian Journal of Chemistry · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA and Nucleic Acid Chemistry
Canadian institutionsImperial Oil (Canada)McGill University
Fundersnot available
KeywordsChemistryHydrogen bondDNAThymineSupramolecular chemistryNucleobaseQuenching (fluorescence)Steric effectsFluorescenceNucleosideBase pairSelf-assemblyFörster resonance energy transferCrystallographyStereochemistryMoleculeBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

A novel biomimetic DNA analogue with fluorescence has been synthesized to generate functional supramolecular architectures. Experimental studies show that triaminopyrimidine nucleoside (2) undergoes a sterically controlled self-assembly into hydrogen-bonded linear tapes and hexameric rosettes. Self-association of the hydrogen-bonded triaminopyrimidine–cyanuric acid complex into elongated, rodlike nanostructures was shown by dynamic light scattering and transmission electron microscopy, suggesting hierarchical formation of higher-order, π-stacked assemblies. The hydrogen-bond self-assembly of the DNA analogue decreased the fluorescence of the nucleosides. This guest-induced fluorescence quenching can be used to develop DNA-hybridization probes. MM + molecular modelling and semi-empirical molecular orbital PM3 calculations (1) predicted the incorporation of triaminopyrimidine nucleoside into new types of artificial DNA strands and triplex formation with natural, complementary DNA strands containing thymine (1).

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.001

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 head0.006
GPT teacher head0.216
Teacher spread0.210 · 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

Citations3
Published2009
Admission routes2
Has abstractyes

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