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Record W2999459632 · doi:10.1261/rna.074377.119

Substrate analogs that trap the 2′-phospho-ADP-ribosylated RNA intermediate of the Tpt1 (tRNA 2′-phosphotransferase) reaction pathway

2020· article· en· W2999459632 on OpenAlexaff
Swathi Dantuluri, Leonora Abdullahu, Annum Munir, Adam Katolik, Masad J. Damha, Stewart Shuman

Bibliographic record

VenueRNA · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiochemical and Molecular Research
Canadian institutionsMcGill University
FundersNational Institute of General Medical SciencesNational Cancer InstituteNational Institutes of Health
KeywordsPhosphodiester bondRNANAD+ kinaseRiboseBiochemistryBiologyTransfer RNANucleic acidNucleotideEnzymeRNA ligaseCofactorPhosphotransferaseSubstrate (aquarium)StereochemistryChemistry

Abstract

fetched live from OpenAlex

The enzyme Tpt1 removes an internal RNA 2′-PO 4 via a two-step reaction in which: (i) the 2′-PO 4 attacks NAD + to form an RNA-2′-phospho-(ADP-ribose) intermediate and nicotinamide; and (ii) transesterification of the ADP-ribose O2″ to the RNA 2′-phosphodiester yields 2′-OH RNA and ADP-ribose-1″,2″-cyclic phosphate. Because step 2 is much faster than step 1, the ADP-ribosylated RNA intermediate is virtually undetectable under normal circumstances. Here, by testing chemically modified nucleic acid substrates for activity with bacterial Tpt1 enzymes, we find that replacement of the ribose-2′-PO 4 nucleotide with arabinose-2′-PO 4 selectively slows step 2 of the reaction pathway and results in the transient accumulation of high levels of the reaction intermediate. We report that replacing the NMN ribose of NAD + with 2′-fluoroarabinose (thereby eliminating the ribose O2″ nucleophile) results in durable trapping of RNA-2′-phospho-(ADP-fluoroarabinose) as a “dead-end” product of step 1. Tpt1 enzymes from diverse taxa differ in their capacity to use ara-2″F-NAD + as a substrate.

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 score0.011
Threshold uncertainty score0.537

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 science0.0010.000
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 head0.021
GPT teacher head0.239
Teacher spread0.218 · 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

Citations7
Published2020
Admission routes1
Has abstractyes

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