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Record W4401458658 · doi:10.1080/15257770.2024.2388789

An expanded framework toward improving the detritylation reaction in solid-phase oligonucleotide syntheses – filling the gap

2024· article· en· W4401458658 on OpenAlexafffund
Quanjian Li, Yogesh S. Sanghvi, Hongbin Yan

Bibliographic record

VenueNucleosides Nucleotides & Nucleic Acids · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsBrock University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryMethanolHexafluorophosphateSolventScavengerOligonucleotideThioanisoleTrichloroacetic acidCombinatorial chemistryOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

A few interactions should be considered during the detritylation reaction of solid-phase oligonucleotide synthesis (SPOS): (i) interaction of solvent with acid; (ii) interaction (or reaction) of solvent with trityl cation, and (iii) interaction of scavenger with acid, with the last one as the focus of this work. Using a stopped-flow setup, commonly used trityl cation scavengers (methanol, thioanisole, 1-dodecanethiol, triisopropylsilane, triethylsilane, and trihexylsilane) were evaluated for their reactivity toward tritylium hexafluorophosphate. Among the scavengers screened, methanol and thioanisole were found to be the most and least reactive, respectively; however, methanol does interact and react with trichloroacetic acid, thus it should not be pre-mixed and stored with acid as deblock solutions. Overall, all aspects of interactions must be taken into consideration while optimizing the detritylation reaction, especially for large scale SPOS.

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)0.003
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.004
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.002

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 head0.023
GPT teacher head0.335
Teacher spread0.312 · 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

Citations2
Published2024
Admission routes2
Has abstractyes

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