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Record W2438005845 · doi:10.1007/978-1-62703-730-3_19

DNA Electronic Switches Based on Analyte-Responsive Aptamers

2013· article· en· W2438005845 on OpenAlexafffund
Jason M. Thomas, Hua‐Zhong Yu, Dipankar Sen

Bibliographic record

VenueMethods in molecular biology · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsSimon Fraser University
FundersCanadian Institutes of Health ResearchFrancis Crick InstituteNatural Sciences and Engineering Research Council of CanadaCanadian Institute for Advanced Research
KeywordsAptamerAnalyteDNAComputational biologyNanotechnologyChemistryMaterials scienceBiologyChromatographyMolecular biologyBiochemistry

Abstract

fetched live from OpenAlex

Aptamers have proven to be very useful as high-affinity and -specificity molecular recognition elements in analytical sensors of various forms. Herein, we describe a general process for creating an aptamer-based sensor that functions as an analyte-responsive, nano-sized, electronic switch. These sensors can provide an electrochemical readout, by switching through-DNA charge transfer across a DNA three-way junction from "off" to "on" in response to the binding of a target ligand to the sensor's aptamer domain. We detail the general design principles for such sensors, as well as the biochemical charge transfer assays used to identify functional sensors. In these gel electrophoresis-based assays, analyte-responsive conductivity switching is detected conveniently through biochemical experiments that characterize oxidative DNA damage patterns in sequencing PAGE gels.

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)0.000
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: Methods · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.010
GPT teacher head0.362
Teacher spread0.352 · 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
GenreMethods

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
Published2013
Admission routes2
Has abstractyes

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