η-Allyl palladium complexes are key intermediates in Tsuji-Trost allylic substitution reactions. It is well known that (η-1-aryl-3-alkyl substituted allyl)Pd intermediates result in nucleophilic attack at the alkyl substituted terminus. In contrast, the chemistry of (η-1,2,3-trisubstituted allyl)Pd intermediates is relatively unexplored. Herein we probe the regioselectivity with 1,2,3-trisubstituted allylic substrates in Tsuji-Trost allylic substitution reactions. DFT investigation of cationic (η-1-Ph-2-B(pin)-3-alkyl-allyl)Pd(PPh) intermediates predict that nucleophilic attack should occur preferentially on -allyls rather than the -isomers to generate benzylic substitution products under Curtin-Hammett conditions. Experimentally, systematic studies with 1,2,3-trisubstituted allylic substrates revealed that a Linear Free Energy Relationship (LFER) is observed when Charton steric parameters of the C-2 substituents are plotted against the log of the ratio of regioisomers. Bulkier C-2 substituents in 1,2,3-trisubstituted η-allyl palladium intermediates provide stronger preference for nucleophilic attack at -oriented benzylic termini. Additionally, the geometry of 1,4-elimination products supports the presence of -allyl palladium intermediates.
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http://dx.doi.org/10.1039/C3SC53035C | DOI Listing |
Angew Chem Int Ed Engl
January 2025
Dalian University of Technology, School of Chemical Engineering, No 2 Linggong Road,Ganjingzi District, 116024, Dalian, CHINA.
The Pd-catalyzed asymmetric hydrogenolysis rearrangement of allylic acetates using (s-Bu)3BHK has been described, achieving the synthesis of axially chiral alkylidene cycloalkanes with excellent enantioselectivities (up to 99% ee) and a wide substrate scope (30 examples of cyclohexanes and cyclobutanes). To the best of our knowledge, this is the first time to achieve synthesis of axially chiral olefins via asymmetric hydrogenolysis of allylic acetates. This methodology not only offers a novel synthetic pathway for non-atropisomeric axially chiral structures but also highlights the potential of asymmetric hydrogenolysis as a powerful tool in synthetic organic chemistry.
View Article and Find Full Text PDFJ Am Chem Soc
January 2025
State Key Laboratory of Applied Organic Chemistry & College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China.
The cycloaddition of aziridines with unsaturated compounds is a valuable method for synthesizing nitrogen heterocycles. However, this process is predominantly substrate-controlled, posing significant challenges in regulating the regioselectivity of the C-N bond cleavage. In this study, we report a nickel-catalyzed dynamic kinetic activation strategy that enables catalyst-controlled activation of aziridines.
View Article and Find Full Text PDFChem Commun (Camb)
January 2025
School of Chemistry, Cardiff University, Main Building, Park Place, CF10 3AT, Cardiff, UK.
Terpene synthases produce a wide number of hydrocarbon skeletons by controlling intramolecular rearrangements of allylic pyrophosphate subtrates reactive carbocation intermediates. Here we review recent research focused on engineering terpene synthases and modifying their substrates to rationally manipulate terpene catalyisis. Molecular dynamic simulations and solid state X-ray crystallography are powerful techniques to identify substrate binding modes, key active site residues for substrate folding, and the location of active site water.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
January 2025
IISER Kolkata: Indian Institute of Science Education and Research Kolkata, Department of Chemical Sciences, Mohanpur, 741246, Nadia, INDIA.
Chiral allyl amines are important structural components in natural products, pharmaceuticals, and chiral catalysts. Herein, we report a cobalt-catalyzed enantioselective reductive coupling of imines with internal alkynes to synthesize chiral allyl amines. The reaction is catalyzed by a cobalt complex derived from commercially available bisphosphine ligand utilizing zinc as the electron donor.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Department of Computer Science and Engineering, and Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China.
Despite remarkable advancements in the organic synthesis field facilitated by the use of machine learning (ML) techniques, the prediction of reaction outcomes, including yield estimation, catalyst optimization, and mechanism identification, continues to pose a significant challenge. This challenge arises primarily from the lack of appropriate descriptors capable of retaining crucial molecular information for accurate prediction while also ensuring computational efficiency. This study presents a successful application of ML for predicting the performance of Ir-catalyzed allylic substitution reactions.
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