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Record W2148590222 · doi:10.1261/rna.1514909

Structure of the cytosine–cytosine mismatch in the thymidylate synthase mRNA binding site and analysis of its interaction with the aminoglycoside paromomycin

2009· article· en· W2148590222 on OpenAlexafffund
Tony J. Tavares, Alexander V. Beribisky, Philip E. Johnson

Bibliographic record

VenueRNA · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Alberta
KeywordsParomomycinCytosineBiologyRNAWobble base pairBinding siteNucleic acid structureBase pairIsothermal titration calorimetryBiophysicsAptamerMolecular biologyCytidineAminoglycosideDNABiochemistryTransfer RNAEnzymeGene

Abstract

fetched live from OpenAlex

The structure of a cytosine-cytosine (CC) mismatch-containing RNA molecule derived from a hairpin structure in the thymidylate synthase mRNA that binds the aminoglycoside paromomycin with high affinity was determined using nuclear magnetic resonance (NMR) spectroscopy. The cytosines in the mismatch form a noncanonical base pair where both cytosines are uncharged and stack within the stem of the RNA structure. Binding to paromomycin was analyzed using isothermal titration calorimetry (ITC) to demonstrate the necessity of the CC mismatch and to determine the affinity dissociation constant of this RNA to paromomycin to be 0.5 +/- 0.3 microM. The CC mismatch, and the neighboring GC base pairs experienced the highest degree of chemical shift changes in their H6 and H5 resonances indicating that paromomycin binds in the major groove at the CC mismatch site. In comparing the structure of CC mismatch RNA with a fully Watson-Crick GC base paired stem, the CC mismatch is shown to confer a widening of the major groove. This widening, combined with the dynamic nature of the CC mismatch, enables binding of paromomycin to this RNA molecule.

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 score0.022
Threshold uncertainty score0.231

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 head0.008
GPT teacher head0.232
Teacher spread0.224 · 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

Citations18
Published2009
Admission routes2
Has abstractyes

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