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Record W1978681516 · doi:10.1093/nar/gkm572

Ligand recognition determinants of guanine riboswitches

2007· article· en· W1978681516 on OpenAlexafffund
Jérôme Mulhbacher, Daniel A. Lafontaine

Bibliographic record

VenueNucleic Acids Research · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsUniversité de Sherbrooke
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRiboswitchAptamerGuanineBiologyContext (archaeology)Binding siteLigand (biochemistry)BiophysicsBiochemistryRNAComputational biologyGeneticsNucleotideGeneNon-coding RNAReceptor

Abstract

fetched live from OpenAlex

Guanine riboswitches negatively modulate transcription upon guanine binding. The aptamer domain is organized around a three-way junction which forms the ligand binding site. Using currently available 89 guanine aptamer sequences, a consensus secondary structure is deduced and reveals differences from the previously identified aptamer consensus. Three positions are found to display different nucleotide requirements. Using a 2-aminopurine binding assay, we show that variations are allowed depending on the aptamer context. However, changes at position 48 markedly decrease ligand binding in a context-independent fashion. This is consistent with previous observations with the adenine riboswitch in which position 48 was proposed to interact with position 74, which normally base pairs with the ligand. The in vivo transcriptional control of endogenous Bacillus subtilis guanine riboswitches was studied using RT-qPCR assays. The ratio of elongated/terminated transcripts is decreased in presence of a high concentration of guanine but is dependent on the riboswitch analyzed. In general, the aptamer-2AP complex affinity correlates well with the in vivo regulation efficiency of the corresponding riboswitch. These studies suggest that core variations of guanine aptamers are used to produce a spectrum of ligand binding affinities which is used in vivo by host riboswitches to perform gene regulation.

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)0.002
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 score0.105
Threshold uncertainty score0.352

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.059
GPT teacher head0.349
Teacher spread0.290 · 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

Citations76
Published2007
Admission routes2
Has abstractyes

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