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Record W4402771701 · doi:10.26434/chemrxiv-2024-x0b65

Peroxy-Carbenium Mediated Asymmetric Synthesis of 1,2-Dioxanes and 1,2-Dioxolanes

2024· preprint· en· W4402771701 on OpenAlexfundno aff
Laurent Ferrié, Bruno Figadère, Nicolas Jamey, Bastien Champciaux

Bibliographic record

VenueChemRxiv · 2024
Typepreprint
Languageen
FieldChemistry
TopicSynthetic Organic Chemistry Methods
Canadian institutionsnot available
FundersMinistère de l'Éducation et de l'Enseignement supérieur
KeywordsNucleophileChemistryCatalysisScope (computer science)Combinatorial chemistrySelectivityPeroxideOrganic chemistryComputer science

Abstract

fetched live from OpenAlex

The endoperoxide scaffold is found in numerous natural products and synthetic substances with pharmaceutical interest. The principal challenge to their synthetic access remains the preparation of chiral compounds, due to the weakness of the peroxide bond, which limits the scope of available or applicable methods. Here, we demonstrate how peroxycarbenium species can be trapped by silylated nucleophiles with high enantioselectivities, and diastereoselectivities when applicable, using a chiral imidophosphorimidate (IDPi) as catalyst. The scope of the methodology is broad, encompassing a large varie-ty of enoxysilanes, and yielding 1,2-dioxanes or 1,2-dioxolanes. Peroxides can be converted into chiral alcohols or trans-epoxides, and the methodology was applied in a key step of the total synthesis of ethyl plakortide Z, which demonstrated enhanced selectivity. Kinetic studies demonstrated that tert-butyldimethylsilylated nucleophiles are more potent than trime-thylsilylated ones. Furthermore, it was observed that the reaction necessitates an induction period, indicating the formation of a silylium species that behaves as the true catalyst.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
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 score0.078
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.265
Teacher spread0.247 · 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
Published2024
Admission routes1
Has abstractyes

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