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Record W4410629042 · doi:10.26434/chemrxiv-2025-pdzz3

A Potentially Prebiotic Synthesis of a 3′-Amino-3′-deoxyribonucleoside

2025· preprint· en· W4410629042 on OpenAlexafffund
Scott Sammons, Constantin Giurgiu, Jack W. Szostak, Derek K. O’Flaherty

Bibliographic record

VenueChemRxiv · 2025
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicOrigins and Evolution of Life
Canadian institutionsUniversity of Guelph
FundersDivision of ChemistryNatural Sciences and Engineering Research Council of CanadaHuman Frontier Science ProgramHoward Hughes Medical InstituteNational Science Foundation
KeywordsDeoxyribonucleosidePrebioticChemistryComputational biologyBiochemistryBiologyDNA

Abstract

fetched live from OpenAlex

A central challenge in origins of life research is understanding how primitive genetic polymers could have replicated nonenzymatically prior to the evolution of macromolecular catalysts. Such a process would have required the formation of inter-nucleotide linkages, high fidelity in nucleobase pairing, and the ability to produce oligomers of sufficient length within short timescales. While modern ribozymes capable of catalyzing phosphodiester bond formation provide a model for RNA-based catalysis, they require a typical minimum length of ~50 nucleotides, a size unlikely to arise spontaneously without enzymatic intervention. Studies have demonstrated that the substitution of the canonical 3′-OH group with the much more nucleophilic 3′-NH2 group significantly enhances nonenzymatic template-directed oligomerization, and may have enabled early genetic polymers to bypass the need for enzymatic catalysis. Here, we report the synthesis of a 3′-amino-3′-deoxyribocytidine from prebiotic feedstocks. Our results support the hypothesis that 3′-amino-modified ribonucleotides could have served as substrates for the nonenzymatic synthesis of phosphoramidate nucleic acids on the early Earth prior to the emergence of RNA and ribozymes.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.669
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.011
GPT teacher head0.243
Teacher spread0.231 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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