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Record W4243555656 · doi:10.1021/ja074209p

Isostable DNA

2007· article· en· W4243555656 on OpenAlexfundno aff
Carolin Ahlborn, Karsten Siegmund, Clemens Richert

Bibliographic record

VenueJournal of the American Chemical Society · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsnot available
FundersMerck Canada
KeywordsChemistryDuplex (building)DNADNA microarrayOligonucleotideNucleic acidBase pairMultiplexNucleic acid thermodynamicsMolecular Structure of Nucleic Acids: A Structure for Deoxyribose Nucleic AcidSequence (biology)GeneComputational biologyCombinatorial chemistryBiochemistryBase sequenceGene expressionGeneticsBiology

Abstract

fetched live from OpenAlex

The high fidelity detection of multiple DNA sequences in multiplex assays calls for duplexes whose stability is independent of sequence (isostable DNA), forming under universally stringent conditions. Nature did not evolve DNA to form isostable duplexes. Here we report how probe strands can be modified so that an all-A/T target strand is bound with the same or slightly higher affinity than the corresponding all-G/C strand with the same sequence of purines and pyrimidines. We refer to these probes that feature covalently attached ligands as "decorated nucleic acids". Caps, intercalators, and locks were used to stabilize A/T duplexes, and N4-ethylcytosine residues were employed to tune down the stability of G/C duplexes without significantly affecting base pairing selectivity. Near-isostability was demonstrated in solution and on microarrays of high and low density. Further, it is shown that hybridization results involving decorated probes on microarrays can be predicted on the basis of thermodynamic data for duplex formation in solution. Predictable formation of isostable DNA not only benefits microarrays for gene expression analysis and genotyping, but may also improve the sequence-specificity of other applications that rely on the massively parallel formation of Watson-Crick duplexes.

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 score0.013
Threshold uncertainty score0.206

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 head0.006
GPT teacher head0.271
Teacher spread0.265 · 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

Citations29
Published2007
Admission routes1
Has abstractyes

Explore more

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