MétaCan
Menu
Back to cohort
Record W1987958896 · doi:10.1002/bip.22595

<scp>DNA</scp>mechatronic devices switched by<scp>K</scp><sup>+</sup>and by<scp>S</scp>r<sup>2+</sup>are structurally, topologically, and electronically distinct

2014· article· en· W1987958896 on OpenAlexafffund
Yu Chuan Huang, Hua‐Zhong Yu, Dipankar Sen

Bibliographic record

VenueBiopolymers · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsSimon Fraser University
FundersCanadian Institutes of Health Research
KeywordsChemistryConformational isomerismCircular dichroismG-quadruplexDNADuplex (building)Molecular switchGuanineCrystallographyStereochemistryChromophoreTopology (electrical circuits)NucleotideMoleculePhotochemistry

Abstract

fetched live from OpenAlex

DNAs and RNAs that fold via the formation of guanine quartets form G-quadruplexes that are often highly diverse in terms of architecture and topology. G-quadruplexes are specifically stabilized by metal cations such as K(+) and Sr(2+), but not Li(+). DNA duplexes that incorporate two separated clusters of G•G mismatches ("P-duplexes") can function as electronic switches, capable of toggling reversibly from a poorly conductive conformer (E) with only Li(+) in the solution to a G-quadruplex incorporating conformer of higher conductivity (C) in the presence of K(+). Herein, we report results from fluorescence energy transfer, circular dichroism, charge conduction, and chemical footprinting experiments, which cumulatively demonstrate that P-duplex E↔C transitions are genuinely mechatronic, with causally coupled mechanical and electronic states. We show, further, that the K(+) - and the Sr(2+)-fuelled E↔C switching of a given P-duplex are structurally, topologically, and electronically distinct from each other. A single DNA P-duplex can thus exist in at least three distinguishable mechatronic states in aqueous solution.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.163
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.005
GPT teacher head0.231
Teacher spread0.226 · 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 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

Citations1
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueBiopolymersSame topicAdvanced biosensing and bioanalysis techniquesFrench-language works237,207