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Record W2908267455 · doi:10.1002/anie.201814352

Freezing‐directed Stretching and Alignment of DNA Oligonucleotides

2018· article· en· W2908267455 on OpenAlexafffund
Biwu Liu, Tianyi Wu, Zhicheng Huang, Yibo Liu, Juewen Liu

Bibliographic record

VenueAngewandte Chemie International Edition · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOligonucleotideDNAFörster resonance energy transferBiophysicsChemistryFluorescenceRaman spectroscopyNanomaterialsMaterials scienceNanotechnologyBiochemistryBiology

Abstract

fetched live from OpenAlex

Abstract Most single‐stranded DNA oligonucleotides are random coils with a persistence length of below 1 nm. So far, no good methods are available to stretch oligonucleotides. Herein, it is shown that freezing can stretch DNA, as confirmed using fluorescence resonance energy transfer, thiazole‐orange staining, and surface‐enhanced Raman spectroscopy. Lateral inter‐strand interactions are critical, and the stretched DNA oligonucleotides are aligned. This work also provides a set of methods for studying frozen oligonucleotides. Upon freezing, DNA oligonucleotides are readily adsorbed onto various nanomaterials, including gold nanoparticles, graphene oxide, iron oxide, and WS 2 via the most thermodynamically stable conformation, leading to more stable conjugates.

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 score0.003
Threshold uncertainty score0.326

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 head0.009
GPT teacher head0.267
Teacher spread0.258 · 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

Citations72
Published2018
Admission routes2
Has abstractyes

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