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Record W4399133100 · doi:10.26434/chemrxiv-2024-g51kp

Asymmetric Csp3-Csp3 Bond Formation via Ni-Catalyzed Regio- and Enantioselective Hydroalkylation of 1,3-Diene through Carbonyl Umpolung

2024· preprint· en· W4399133100 on OpenAlexaff
Ruofei Cheng, Kangbao Zhong, Xue‐Qiang Chu, Yu Lan, Chao‐Jun Li

Bibliographic record

VenueChemRxiv · 2024
Typepreprint
Languageen
FieldChemistry
TopicAsymmetric Hydrogenation and Catalysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsUmpolungEnantioselective synthesisCatalysisDieneChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

The asymmetric Csp3-Csp3 bond formation has been a grand pursuit in synthetic chemistry. The regio- and enantionselective hydroalkylation of 1,3-diene has emerged as an appealing approach for constructing chiral allylic Csp3-Csp3 bonds. However, this method is presently confined to the use of stabilized Csp3 nucleophilic substrates. Herein, we present a nickel-catalyzed asymmetric hydroalkylation of 1,3-dienes with simple unstablized alkyl carbanion enabled by hydrazones umpolung under mild reaction conditions. A range of simple alkylated chiral allylic compounds were generated in good to excellent yields, with enantiomeric ratio (er) of up to 2:98 in forming the Csp3-Csp3 bond. The protocol is applicable to heterocycles, polyenes and unsaturated hydrazones, as well as amenable for late-stage functionalizations of various complex pharmaceuticals. Density functional theory calculations elucidate the mechanism and enantioselectivity of the reaction. An enantiocontrol model is also proposed, emphasizing the crucial role of a chiral NHC ligand in facilitating this asymmetric reaction, as revealed by the two-layer two-dimensional (2D) contour maps.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

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 science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.013
GPT teacher head0.246
Teacher spread0.233 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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Same venueChemRxivSame topicAsymmetric Hydrogenation and CatalysisFrench-language works237,207