1
|
van Dijk L, Haas BC, Lim NK, Clagg K, Dotson JJ, Treacy SM, Piechowicz KA, Roytman VA, Zhang H, Toste FD, Miller SJ, Gosselin F, Sigman MS. Data Science-Enabled Palladium-Catalyzed Enantioselective Aryl-Carbonylation of Sulfonimidamides. J Am Chem Soc 2023; 145:20959-20967. [PMID: 37656964 DOI: 10.1021/jacs.3c06674] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/03/2023]
Abstract
New methods for the general asymmetric synthesis of sulfonimidamides are of great interest due to their applications in medicinal chemistry, agrochemical discovery, and academic research. We report a palladium-catalyzed cross-coupling method for the enantioselective aryl-carbonylation of sulfonimidamides. Using data science techniques, a virtual library of calculated bisphosphine ligand descriptors was used to guide reaction optimization by effectively sampling the catalyst chemical space. The optimized conditions identified using this approach provided the desired product in excellent yield and enantioselectivity. As the next step, a data science-driven strategy was also used to explore a diverse set of aryl and heteroaryl iodides, providing key information about the scope and limitations of the method. Furthermore, we tested a range of racemic sulfonimidamides for compatibility of this coupling partner. The developed method offers a general and efficient strategy for accessing enantioenriched sulfonimidamides, which should facilitate their application in industrial and academic settings.
Collapse
Affiliation(s)
- Lucy van Dijk
- Department of Chemistry, University of Utah, Salt Lake City, Utah 84112, United States
| | - Brittany C Haas
- Department of Chemistry, University of Utah, Salt Lake City, Utah 84112, United States
| | - Ngiap-Kie Lim
- Department of Small Molecule Process Chemistry, Genentech, Inc., South San Francisco, California 94080, United States
| | - Kyle Clagg
- Department of Small Molecule Process Chemistry, Genentech, Inc., South San Francisco, California 94080, United States
| | - Jordan J Dotson
- Department of Small Molecule Process Chemistry, Genentech, Inc., South San Francisco, California 94080, United States
| | - Sean M Treacy
- Department of Chemistry, University of California, Berkeley, California 94720, United States
| | - Katarzyna A Piechowicz
- Department of Small Molecule Process Chemistry, Genentech, Inc., South San Francisco, California 94080, United States
| | - Vladislav A Roytman
- Department of Chemistry, University of California, Berkeley, California 94720, United States
| | - Haiming Zhang
- Department of Small Molecule Process Chemistry, Genentech, Inc., South San Francisco, California 94080, United States
| | - F Dean Toste
- Department of Chemistry, University of California, Berkeley, California 94720, United States
| | - Scott J Miller
- Department of Chemistry, Yale University, New Haven, Connecticut 06511, United States
| | - Francis Gosselin
- Department of Small Molecule Process Chemistry, Genentech, Inc., South San Francisco, California 94080, United States
| | - Matthew S Sigman
- Department of Chemistry, University of Utah, Salt Lake City, Utah 84112, United States
| |
Collapse
|
2
|
Dotson JJ, van Dijk L, Timmerman JC, Grosslight S, Walroth RC, Gosselin F, Püntener K, Mack KA, Sigman MS. Data-Driven Multi-Objective Optimization Tactics for Catalytic Asymmetric Reactions Using Bisphosphine Ligands. J Am Chem Soc 2023; 145:110-121. [PMID: 36574729 DOI: 10.1021/jacs.2c08513] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Optimization of the catalyst structure to simultaneously improve multiple reaction objectives (e.g., yield, enantioselectivity, and regioselectivity) remains a formidable challenge. Herein, we describe a machine learning workflow for the multi-objective optimization of catalytic reactions that employ chiral bisphosphine ligands. This was demonstrated through the optimization of two sequential reactions required in the asymmetric synthesis of an active pharmaceutical ingredient. To accomplish this, a density functional theory-derived database of >550 bisphosphine ligands was constructed, and a designer chemical space mapping technique was established. The protocol used classification methods to identify active catalysts, followed by linear regression to model reaction selectivity. This led to the prediction and validation of significantly improved ligands for all reaction outputs, suggesting a general strategy that can be readily implemented for reaction optimizations where performance is controlled by bisphosphine ligands.
Collapse
Affiliation(s)
- Jordan J Dotson
- Department of Chemistry, University of Utah, Salt Lake City, Utah 84112, United States
| | - Lucy van Dijk
- Department of Chemistry, University of Utah, Salt Lake City, Utah 84112, United States
| | - Jacob C Timmerman
- Department of Small Molecule Process Chemistry, Genentech, Inc., South San Francisco, California 94080, United States
| | - Samantha Grosslight
- Department of Chemistry, University of Utah, Salt Lake City, Utah 84112, United States
| | - Richard C Walroth
- Department of Small Molecule Process Chemistry, Genentech, Inc., South San Francisco, California 94080, United States
| | - Francis Gosselin
- Department of Small Molecule Process Chemistry, Genentech, Inc., South San Francisco, California 94080, United States
| | - Kurt Püntener
- Synthetic Molecules Technical Development, Process Chemistry & Catalysis, F. Hoffmann-La Roche Limited, CH-4070 Basel, Switzerland
| | - Kyle A Mack
- Department of Small Molecule Process Chemistry, Genentech, Inc., South San Francisco, California 94080, United States
| | - Matthew S Sigman
- Department of Chemistry, University of Utah, Salt Lake City, Utah 84112, United States
| |
Collapse
|
4
|
González J, van Dijk L, Goetzke FW, Fletcher SP. Highly enantioselective rhodium-catalyzed cross-coupling of boronic acids and racemic allyl halides. Nat Protoc 2019; 14:2972-2985. [PMID: 31541227 DOI: 10.1038/s41596-019-0209-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Accepted: 06/06/2019] [Indexed: 11/09/2022]
Abstract
Although Csp2-Csp2 Suzuki-Miyaura couplings (SMCs) are widely used in small-molecule synthesis, related methods that allow the incorporation of Csp3-hybridized coupling partners, particularly in an asymmetric manner, are less developed. This protocol describes catalytic asymmetric SMC reactions that provide access to enantiomerically enriched cyclic allylic products. The method couples racemic allyl halide starting materials with sp2-hybridized boronic acid derivatives and is compatible with heterocyclic coupling partners. These reactions are catalyzed by a rhodium-ligand complex and typically display very high levels of enantioselectivity (>95% enantiomeric excess (ee)). In this protocol, we detail a procedure using a dihydropyridine-derived allyl chloride for the synthesis of (-)-(S)-tert-butyl-3-(4-bromophenyl)-3,6-dihydropyridine-1(2H)-carboxylate, an intermediate in the synthesis of the anticancer drug niraparib. This procedure affords 1.17 g (86% yield) of the coupling product with 96% ee. The initial experimental setup of the reaction takes 45-50 min, and the reaction is complete within 4-5 h.
Collapse
Affiliation(s)
- Jesús González
- Chemistry Research Laboratory, Department of Chemistry, University of Oxford, Oxford, UK
| | - Lucy van Dijk
- Chemistry Research Laboratory, Department of Chemistry, University of Oxford, Oxford, UK
| | - F Wieland Goetzke
- Chemistry Research Laboratory, Department of Chemistry, University of Oxford, Oxford, UK
| | - Stephen P Fletcher
- Chemistry Research Laboratory, Department of Chemistry, University of Oxford, Oxford, UK.
| |
Collapse
|
6
|
Abstract
Photo‐mediated 6π cyclization is a valuable method for the formation of fused heterocyclic systems. Here we demonstrate that irradiation of cyclic 2‐aryloxyketones with blue LED light in the presence of an IrIII complex leads to efficient and high yielding arylation across a panoply of substrates by energy transfer. 2‐Arylthioketones and 2‐arylaminoketones also cyclize effectively under these conditions. Quantum calculation demonstrates that the reaction proceeds via conrotatory ring closure in the triplet excited state. Subsequent suprafacial 1,4‐hydrogen shift and epimerization leads to the observed cis‐fused products.
Collapse
Affiliation(s)
- Niels Münster
- Chemistry Research Laboratory, University of Oxford, 12 Mansfield Road, Oxford, OX1 3TA, UK
| | - Nicholas A Parker
- Chemistry Research Laboratory, University of Oxford, 12 Mansfield Road, Oxford, OX1 3TA, UK
| | - Lucy van Dijk
- Chemistry Research Laboratory, University of Oxford, 12 Mansfield Road, Oxford, OX1 3TA, UK
| | - Robert S Paton
- Chemistry Research Laboratory, University of Oxford, 12 Mansfield Road, Oxford, OX1 3TA, UK
| | - Martin D Smith
- Chemistry Research Laboratory, University of Oxford, 12 Mansfield Road, Oxford, OX1 3TA, UK
| |
Collapse
|