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Record W2415845301 · doi:10.1007/978-1-59745-558-9_6

Molecular Basis of RNA-Mediated Gene Regulation on the Adenine Riboswitch by Single-Molecule Approaches

2009· article· en· W2415845301 on OpenAlexaff
Jean‐François Lemay, J. Carlos Penedo, Jérôme Mulhbacher, Daniel A. Lafontaine

Bibliographic record

VenueMethods in molecular biology · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsRiboswitchRNAGeneComputational biologyBasis (linear algebra)ChemistryBiologyGeneticsNon-coding RNAMathematics

Abstract

fetched live from OpenAlex

The adenine-specific pbuE riboswitch undergoes metal ion-dependent folding that involves a long-range tertiary loop-loop interaction between two stem loops. Fluorescence resonance energy transfer (FRET) and single-molecule FRET studies demonstrate the ability of the loops to interact in the absence of the ligand. Although the riboswitch can fold in the absence of adenine, ligand binding stabilizes this folded conformation by increasing the folding and decreasing the unfolding rates of the riboswitch. The presence of the ligand also decreases the magnesium ion concentration required to promote the loop-loop interaction. Single-molecule FRET studies demonstrate that individual aptamer molecules exhibit great heterogeneity in the rates of folding and unfolding, which is reduced in the presence of adenine. Moreover, single-molecule FRET proposes that riboswitch folding proceeds through a complex landscape that involves a discrete intermediate.

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 score0.003

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.311
Teacher spread0.277 · 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

Citations23
Published2009
Admission routes1
Has abstractyes

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