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Record W2053125417 · doi:10.1021/bi100952k

Defining a Stem Length-Dependent Binding Mechanism for the Cocaine-Binding Aptamer. A Combined NMR and Calorimetry Study

2010· article· en· W2053125417 on OpenAlexafffund
Miguel A. D. Neves, Oren Reinstein, Philip E. Johnson

Bibliographic record

VenueBiochemistry · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsYork University
FundersUniversity of Calgary
KeywordsAptamerIsothermal titration calorimetryChemistryLigand (biochemistry)Nuclear magnetic resonance spectroscopyProtein secondary structureBinding siteCrystallographyStereochemistryBiophysicsBiochemistryBiologyReceptorMolecular biology

Abstract

fetched live from OpenAlex

We have used a combined approach of NMR spectroscopy and isothermal titration calorimetry (ITC) to determine the ligand-binding mechanism employed by a cocaine-binding aptamer. We found that the length of the stem containing the 3' and 5' termini determines the nature of the binding mechanism. When this stem is six base pairs long, the secondary structure of the aptamer is fully folded in the free form and only putative tertiary interactions form with ligand binding. If this stem is shortened by three base pairs, the free form of the aptamer contains little secondary structure, and ligand binding triggers secondary structure formation and folding. This binding mechanism is supported by both NMR spectral changes and the ITC measured heat capacity of binding (ΔC(p)°). For the aptamer with the long stem the ΔC(p)° value is -557 ± 29 cal mol(-1) K(-1) and for the aptamer with the short stem the ΔC(p)° value is -922 ± 51 cal mol(-1) K(-1). Chemical shift perturbation data and the observation of intermolecular NOEs indicate that the three-way junction is the site of ligand binding.

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 score0.001
Threshold uncertainty score0.003

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.272
Teacher spread0.261 · 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

Citations110
Published2010
Admission routes2
Has abstractyes

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