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Record W4393057753 · doi:10.1139/cjc-2024-0005

Efficient synthesis of the 2-aminoimidazolium-bridged diguanosyl intermediate for nonenzymatic primer extension

2024· article· en· W4393057753 on OpenAlexafffundvenue
Scott Sammons, James D. Robinson, Derek K. O’Flaherty

Bibliographic record

VenueCanadian Journal of Chemistry · 2024
Typearticle
Languageen
FieldChemistry
TopicSynthetic Organic Chemistry Methods
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryStereochemistryCombinatorial chemistry

Abstract

fetched live from OpenAlex

Nonenzymatic genome replication has yet to be demonstrated experimentally. Recently, studies on the nonenzymatic primer extension mechanism mediated by nucleoside 5′-monophosphates (NMPs) activated with 2-aminoimidazole (2AI) have revealed that imidazolium-bridged dinucleotide intermediates (N*N) are responsible for the bulk of the chemical copying process. As a result, an efficacious synthetic pathway for producing these substrates is desirable. Standard dehydrative redox reaction between NMPs and 2AI can produce N*N in high yields for all homodimers, apart from riboguanosine 5′-monophosphate. Here, we report a vastly improved methodology for the preparation of G*G, by the introduction of a simple reverse-phase cation exchange step to increase the solubility of the mononucleotide. Our approach is more efficient, cost-effective, less time-consuming, and has better atom economy than the currently established methodology for this important molecule in primer extension studies.

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 science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.014
GPT teacher head0.246
Teacher spread0.232 · 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

Citations1
Published2024
Admission routes3
Has abstractyes

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