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Record W1982703716 · doi:10.1021/bi047963l

Nuclear Magnetic Resonance Structure of the Varkud Satellite Ribozyme Stem−Loop V RNA and Magnesium-Ion Binding from Chemical-Shift Mapping<sup>,</sup>

2005· article· en· W1982703716 on OpenAlexaff
Dean O. Campbell, Pascale Legault

Bibliographic record

VenueBiochemistry · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsStem-loopRibozymeLoop (graph theory)Nucleic acid structureChemistryHairpin ribozymeRNANuclear magnetic resonance spectroscopyPseudoknotPhysicsBiophysicsCrystallographyStereochemistryBiologyBiochemistryMathematics

Abstract

fetched live from OpenAlex

An important step in the substrate recognition of the Neurospora Varkud Satellite (VS) ribozyme is the formation of a magnesium-dependent loop/loop interaction between the terminal loops of stem-loops I and V. We have studied the structure of stem-loop V by nuclear magnetic resonance spectroscopy and shown that it adopts a U-turn conformation, a common motif found in RNA. Structural comparisons indicate that the U-turn of stem-loop V fulfills some but not all of the structural characteristics found in canonical U-turn structures. This U-turn conformation exposes the Watson-Crick faces of the bases within stem-loop V (G697, A698, and C699) and makes them accessible for interaction with stem-loop I. Using chemical-shift mapping, we show that magnesium ions interact with the loop of the isolated stem-loop V and induce a conformational change that may be important for interaction with stem-loop I. This study expands our understanding of the role of U-turn motifs in RNA structure and function and provides insights into the mechanism of substrate recognition in the VS ribozyme.

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 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 score0.018
Threshold uncertainty score1.000

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 head0.188
Teacher spread0.182 · 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

Citations31
Published2005
Admission routes1
Has abstractyes

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