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Simple Diaminonucleoside-Mediated Nonenzymatic Ligation of Oligonucleotides

2025· article· en· W4411255095 on OpenAlexafffund
Michael Capperauld, Krish Kiran Valluru, Jagandeep S. Saraya, Evan Zakaria, Derek K. O’Flaherty

Bibliographic record

VenueBioconjugate Chemistry · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of CanadaHuman Frontier Science Program
KeywordsOligonucleotideChemistryLigationChemical ligationCombinatorial chemistryReagentNucleic acidDNAChemical biologyCovalent bondRNANative chemical ligationChemical synthesisBiochemistryOrganic chemistryAmino acidMolecular biology

Abstract

fetched live from OpenAlex

Oligonucleotide-templated chemical ligation is a powerful and robust technique to covalently join two or more oligonucleotides. Chemical handles, such as amino-modifiers, can be incorporated to enhance ligation efficiency. However, their incorporation is typically laborious, expensive, and time-consuming. Utilizing 3',5'-diamino-3',5'-dideoxythymidine (or 3',5'-diamino-2',3',5'-trideoxy-5-methylcytidine) and a water-soluble condensing reagent, we demonstrate a simple and cost-effective methodology for chemically ligating two oligonucleotides containing opposing monophosphate groups in a template-directed manner. Through reaction optimization, product formation reached >85% within 4 h in DNA, RNA-like, and certain chimeric-based systems. Our methodology will find applications in chemical biology and biotechnology.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
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 head0.006
GPT teacher head0.254
Teacher spread0.249 · 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
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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