Nickel-Catalyzed Asymmetric Homobenzylic Hydroamidation of Vinylarenes: A Strategy for Chiral β-(Hetero)arylethylamides

Nickel-Catalyzed Asymmetric Homobenzylic Hydroamidation of Vinylarenes: A Strategy for Chiral β-(Hetero)arylethylamides | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Nickel-Catalyzed Asymmetric Homobenzylic Hydroamidation of Vinylarenes: A Strategy for Chiral β-(Hetero)arylethylamides Xiang Lyu, Eojin Jeon, Changhyeon Seo, Dongwook Kim, Sukbok Chang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5577131/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Herein, we introduce a Ni-catalyzed asymmetric homobenzylic hydroamidation reaction that efficiently addresses the dual challenge of achieving regio- and enantioselectivity in the synthesis of β-(hetero)arylethylamides. By employing a transposed NiH catalysis approach, this method facilitates the formation of key nickel-amido intermediates, enabling migratory insertion into alkenes to produce the desired products. The reaction exhibits excellent functional group tolerance and utilizes simple, readily available starting materials, thereby readily accessing pharmaceutical and natural product frameworks. Notably, the approach was applied to the synthesis of pharmaceutical compounds and natural products, such as Sacubitril and Cipargamin, showcasing its potential to streamline the process with high yields and selectivity. This work underscores the transformative role of NiH catalysis in expanding the toolbox of asymmetric hydroamidation. Organic Chemistry Asymmetric catalysis Synthetic chemistry methodology Homogeneous catalysis Stereochemistry Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Introduction The β-(hetero)arylethylamine scaffold represents as a cornerstone in both natural product and pharmaceutical development, owing to its diverse biological properties and wide-ranging therapeutic potential (Fig. 1 a) 1,2 . Prominent examples include catecholamines such as dopamine, norepinephrine, and epinephrine, which play critical roles in regulating motor functions, stress responses, and mood through their actions in dopaminergic neurons 3 . To meet the growing demand for these valuable frameworks, several innovative approaches have been developed 4–6 , including reductive amination 7 , transition metal-catalyzed Suzuki-Miyaura couplings 8 , ring-opening of aziridines 9 , arylamination of alkenes 10–13 , and radical mediated Truce-Smiles rearrangements 14–16 . However, current methods often rely on engineered substrates or multi-step processes, limiting their practicality. Developing concise and efficient strategies, particularly with asymmetric control, remains a highly desirable goal. Hydroamination/amidation reaction of vinyl (hetero)arenes is especially considered as one of the most straightforward methods to access β-(hetero)arylethylamine motifs 17 . Hartwig's pioneering work utilized transition metals such as Ir, Rh, and Ru to activate amines, forming metal-amido intermediates that undergo styrene insertion with high anti -Markovnikov selectivity (Fig. 1 b) 18–21 . Similarly, Beller 22 and Hultzsch 23 employed alkali metals, such as lithium and potassium derivatives, in catalyzing anti -Markovnikov hydroamination of alkenes with high efficiency. However, these methods encounter significant challenges when applied to β-substituted styrenes (R ≠ H). Moreover, achieving chiral amine products remains difficult, with the best reported enantioselectivity reaching only 14% e.e. 23 Photocatalytic strategies offer promising alternatives by oxidizing either styrenes to benzylic radical cations or amines to aminium radical cations, facilitating the rapid formation of β-arylethylamines (Fig. 1 b). 24–26 Nonetheless, asymmetric transformations involving radical cations remain limited. Transition metal hydrides (TMH) have demonstrated unique catalytic activity in alkene hydrofunctionalization. 27,28 Notably, Hirano and Miura 29 as well as Zhu and Buchwald 30 pioneered that CuH, generated from copper and hydride sources, to catalyze the formal hydroamination of vinylarenes through umpolung strategies with electrophilic amino source 31 . This breakthrough has spurred extensive research in asymmetric hydroamination, leading to the protocols utilizing copper 32,33 and other earth-abundant metals like iron 34,35 , cobalt 36,37 , and nickel 38–40 . Despite achieving diverse enantioselectivities, these hydroaminations consistently display regioselectivity toward C-N bond formation at the benzylic position, regardless of the mechanistic pathway via MHAT or hydrometallation (Fig. 1 c). In contrast, homobenzylic functionalization using THMs remains exceedingly rare. To the best of our knowledge, Koh’s Fe-catalyzed homobenzylic hydroborylation is the only example reported to date 41 . Overcoming this intrinsic benzylic-amination regioselectivity is highly sought after, particularly in the asymmetric synthesis of privileged chiral β-arylethylamide frameworks, which are still inaccessible through conventional mechanistic paradigm. To address the aforementioned challenges, we herein introduce a general NiH strategy for the asymmetric homobenzylic hydroamidation of vinylarenes, achieving β-(hetero)arylethylamides with exceptional regio- and enantioselectivity (Fig. 1 d). Mechanistic studies suggest that the unique homobenzylic selectivity arises from transposed NiH catalysis, which proceeds via a prior N -activation pathway under kinetic control, generating a nickel-amido intermediate that undergoes migratory insertion into the alkene. Such regio- and enantio-control remain unattainable with conventional umpolung TMH strategies or direct hydroamidation methods. Additionally, the reaction features excellent functional group tolerance, rendering it highly applicable for late-stage modification of bioactive molecules. We further demonstrate the practicality of this approach in the concise synthesis of natural products and pharmaceutical compounds. Importantly, the reliance on readily accessible starting materials (dioxazolones 42 and styrenes) highlights the broad applicability and transformative potential of this approach in synthetic and medicinal chemistry. Results and discussion Reaction development Aryl-substituted alkenes, as demonstrated in the NiH-catalyzed amidation studies by Zhu 38–40 , exhibit pronounced electronic effects that consistently direct C–N bond formation at the benzylic carbon. Building on our recent works 43–45 , which explored nickel-amido transfer initialed by nickel hydride 46,47 , we were intrigued to extend this strategy to intermolecular reactions with vinylarenes, seeking to shift the conventional regioselectivity to less accessible homobenzylic position. We began our investigation by using trans-β-methylstyrene 1a and 3-phenyl-1,4,2-dioxazol-5-one 2a as model substrates under the conditions hinted at by our previous study 46 . The reaction employed NiCl 2 ⋅glyme as the catalyst, dimethoxydimethylsilane (DMMS) as the hydride source, EtOH as a proton donor ( vide infra ), K 3 PO 4 base to activate silane 40 , and LiCl to promote dioxazolone initiation (Table 1 ). To our delight, the homobenzylic product 3a was obtained as the major regioisomer with promising enantioselectivity by using chiral pyridine-oxazoline ligand L1 (14:1 r.r. and 95:5 e.r., entry 1). Adjustments to the PyOx ligands revealed that reducing steric bulk at the pyridine site diminished enantioselectivity (entries 2–3), while the methyl-substituted L4 further decreased regioselectivity (entry 4). Similarly, smaller substituent on oxazoline resulted in lower yield (entry 5). Notably, L6 , previously effective for benzylic hydroamidation in Zhu’s work 38,39 , proved ineffective here, yielding a mixture of 3a and 3a’ (15% and 7% respectively, entry 6). Solvent screening showed that dimethylacetamide (DMA) slightly improved yield and enantioselectivity, whereas acetonitrile (MeCN) significantly increased the yield but compromised regio- and enantiocontrol (entry 8–9). Through further exhaustive screening of other parameters (see the supporting information of details), it was identified that a 5:1 DMA/MeCN co-solvent, combined with KF as the base replacing K 3 PO 4 , achieved a 94% yield with an excellent 98:2 e.r. Table 1. Reaction optimization for enantioselective homobenzylic hydroamidation Standard reaction conditions: 1a (0.1 mmol), 2a (2.0 equiv.), NiCl 2 ⋅glyme (10 mol%), ligand L (15 mol%), DMMS (4.0 equiv.), EtOH (2.0 equiv.), LiCl (50 mol%) and KF (1.0 equiv.) in DMA/MeCN (5:1, 0.17 M) at 0 °C for 18 h under N 2 . a Yield was determined by 1 H NMR analysis (internal standard: dibromomethane). b Enantioselectivity was determined by chiral HPLC analysis. n.d. not determined. Substrate scope With the optimal reaction conditions established, we explored the generality of the enantioselective homobenzylic hydroamidation of vinylarenes (Fig. 2 ). A broad range of vinylarenes successfully participated in the reaction, delivering the desired products ( 3a–3v ) with excellent enantioselectivities (over 94:6 e.r.). The methodology exhibited high tolerance towards a variety of functional groups, including methoxy ( 3b , 3l ), halogens ( 3d , 3m , 3n , 3t ), trifluoromethyl ( 3e ), tertiary amine ( 3g ), thioether ( 3h ), sulfonyl ( 3i ), sulfonamide ( 3j ), boronate ester ( 3k ), aldehyde ( 3o ), ester ( 3p ), cyano ( 3q ), ketone ( 3r ), hydroxyl ( 3s ), and acetal ( 3v ). The absolute configuration of 3n was unambiguously determined through single-crystal X-ray diffraction (SCXRD) analysis. Significantly, the reaction also accommodated vinylarenes with extended alkyl chains ( 4a–4f ), affording the corresponding products in moderate to high yields (46–82%) and excellent enantioselectivities (up to 99:1 e.r.). Substrates bearing alkyl chloro ( 4a ), nitro ( 4d ) and furan ( 4e ) groups were well-tolerated under the standard conditions. Furthermore, heteroarenes featuring medicinally relevant scaffolds, including pyridine, thiophene, benzofuran, protected indole, benzothiophene ( 5d confirmed by SCXRD), benzoxazole and benzothiazole, underwent the reaction smoothly, affording products ( 5a–5h ) with consistently high enantioselectivities. Interestingly, a ferrocene derivative, representing a distinct class of organometallic framework, also participated successfully, to give amidated product 5i (confirmed by SCXRD) with a 97:3 e.r. Dioxazolones are easily prepared in two high-yielding steps from the corresponding abundant carboxylic acids. Regarding the scope of aryl dioxazolones, those bearing para -substituents with varied electronic properties (neutral, electron-donating or electron-withdrawing) proved to be excellent amidating reagents, yielding products ( 6a–6f ) with excellent enantiocontrol. Notably, even sterically demanding ortho -substituent ( 6g ) and sterically less demanding methyl group ( 6h ) reacted efficiently under the current conditions. In addition, a chiral dioxazolone, derived from the natural amino acid valine, provided products 6i and 6j with high diastereoselectivity respectively, determined by the enantiomer of the chiral ligand. This observation further implied the absence of a match/mismatch effect during the present asymmetric amidation. Finally, the catalytic system demonstrated remarkable versatility with structurally complex and biologically relevant substrates, including glucose ( 7a ) and estrone ( 7b ) derivatives. Mechanistic investigations Building on the demonstrated broad substrate scope, we conducted a series of control experiments to rationalize the reaction mechanism. Given that nickel (I) hydride is generated from the corresponding nickel (I) chloride precursor, we investigated whether Ni I Cl could initiate N -activation. A stoichiometric amount of L1 Ni I Cl ( in situ generated via comproportionation) 48 was applied under standard conditions with dioxazolone 2a in the absence of alkene (Fig. 3 a). The formation of carbamate 8 in 76% yield indicated that, while Ni I Cl is capable of activating 2a , a rapid Curtius-type rearrangement occurred before the nickel-nitrenoid could transform into the nickel-amido species, likely due to the electron-deficient nature of the Ni center induced by the chloride ligand 49 . A trisubstituted olefin 12 was subjected to the standard conditions at room temperature, yielding amide 13 with excellent diastereo- and enantioselectivity, albeit in a modest yield (Fig. 3 b). The cis -relationship between the newly installed amide and hydrogen atom was confirmed by SXCRD, supporting a syn -migratory insertion mechanism. Isotope-labeling experiments revealed that when EtOH- d6 was used, no deuterium incorporation occurred (Fig. 3 c-i). In contrast, the use of deuterated hydrosilane (DMMS- d ) led to exclusive deuterium incorporation at the benzylic position of product 3a- d (> 20:1 d.r.), again in a syn -addition manner, indicating that dioxazolone activation by NiH is the initiating step (Fig. 3 c-ii). The feasibility of the amidonickelation step was further explored by generating the nickel-amido intermediate 11 in situ through an alternative oxidative addition strategy. Stoichiometric amounts of the labile Cornella’s 50 Ni(0) species ( 9-Ni 0 ) and N -chlorobenzamide 10 were employed under the standard conditions with an excess of alkene ( 1a , 10 equiv., Fig. 3 d). Although the amidation product was obtained in a moderate yield of 12%, the reaction maintained high enantioselectivity (91:9 e.r.), providing evidence that the proposed amidonickelation is operative. Density functional theory (DFT) calculations were performed to elucidate the key steps in the reaction mechanism using model substrate 1a and dioxazolone 2a (Fig. 3 e). The calculations revealed negligible thermodynamic differences in coordination state of nickel (I) hydride ( int-B ) between with 1a and 2a . However, the Ni I H species favors an irreversible N -activation pathway, which lowers the barrier for hydronickelation process of styrene by 6.8 kcal⋅mol − 1 compared to conventional benzylic amidation. Following this step, the Ni-nitrenoid species is converted into Ni-amido intermediate 46,47,51,52 , which undergoes a regioselective olefin insertion, yielding the desired homobenzylic amidation product. Computational analysis provides further insights into the stereocontrol step (Fig. 3 e). Transition state modeling of the amidonickelation revealed that one of the two Ni–N bonds of the bidentate PyOx ligand is either elongated or dissociated. Among the possible transition state geometries, TS -Sa and TS -Ra emerged as the two lowest-energy conformers leading to respective enantiomers. The formation of ( S )-3a via TS -Sa is energetically favored, as this geometry minimizes steric interactions between the phenyl ring of the substrate and the oxazoline moiety of the ligand present in TS- Ra . The calculated energy difference between these transition states (ΔΔG ‡ S−R = − 1.59 kcal⋅mol − 1 ) aligns well with the observed enantioselectivity (Table 1 , entry 7). Synthetic applications in pharmaceuticals To illustrate the current method in practical applications, we showcased the streamlined preparation of pharmaceutical drugs with notable efficiency. For example, simple derivatization of the chiral amidated products 14 , ( S )-3a and ( R )-3a shown in Fig. 4 a, led to medicinally relevant molecules. Chobenzorex ( 15 ) was accessed in 66% yield through carbonyl reduction of amide 14 with PhSiH 3 , catalyzed by tris(pentafluorophenyl)borane (BCF). N -Methylation and carbonyl reduction of ( S )-3a afforded Didrex in 78% over two steps. N -Methylation of ( R )-3a , followed by benzoyl group deprotection by Schwartz's reagent (Cp 2 ZrHCl) and N -propargylation provided Selegiline in 43% yield over three steps. Merging unprotected sulfonamide 18 and ether-tethered dioxazolone 19 smoothly gave amide 20 in excellent enantioselectivity (98:2 e.r.), which, after carbonyl reduction, afforded a Tamsulosin analog. The previous synthetic route 53 to Sacubitril ( 27 ) started from chiral amino ester 23 taking 9 steps. In contrast, our method began with substrate 22 and required only 6 steps to complete synthesis, including 4 steps to form alkene 24 , followed by hydroamidation and deprotection. Synthetic applications in natural products In addition, current protocol is also applicable to natural product total synthesis by altering retrosynthetic logic (Fig. 5 ). As a case in point, an amide 30 (Fig. 5 a), serving as the precursor to Schwarzincine A, a natural product isolated from Ficus schwarzii 54 , was synthesized via homobenzylic hydroamidation with excellent enantioselectivity (98:2 e.r.). This approach combined alkene 28 and dioxazolone 29 , producing a key intermediate that, with only one additional carbonyl reduction, could yield the final natural product. A new access to the anti -malarial natural product Cipargamin 55 ( 37 ) can now be synthesized from indole 31 (Fig. 5 b). In the patented route 56 , 9 steps were required, including a chiral resolution step, to obtain the chiral amide 32 . By applying our hydroamidation strategy, the chiral amide 34 was achieved in 87% yield with a 98:2 e.r. in just 5 steps from the same starting material 31 . A subsequent global deprotection and Pictet-Spengler cyclization then afforded the natural product 37 in 64% yield over two additional steps. Conclusions In this work, we have developed a highly efficient Ni-catalyzed asymmetric homobenzylic hydroamidation reaction, achieving an excellent level of homobenzylic selectivity and remarkable enantio-control. This method exhibits notable functional group tolerance, utilizing readily available feedstocks to deliver chiral β-(hetero)arylethylamides with unprecedented regio- and enantioselectivity. Mechanistic studies revealed the unique role of transposed NiH catalysis in driving the reaction, providing new insights into the formation of nickel-amido intermediates and their subsequent transformations. The utility of this methodology was demonstrated through its application in the concise synthesis of pharmaceutical compounds, such as Sacubitril, and natural product, including Schwarzincine A and Cipargamin. We anticipate that our studies will broadly advance synthetic chemistry, enabling enantioselective amidation at the challenging homobenzylic position and inspiring further innovations in asymmetric catalysis. Declarations Corresponding Author [email protected] Competing interests The authors declare no competing interests. Author Contributions S.C. conceived and supervised the project. C.S. contributed to the initial asymmetric hydroamination optimization. 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Spiroindolones, a Potent Compound Class for the Treatment of Malaria. Science 329 , 1175–1180 (2010). Ang, S. H. et al. Spiro-indole derivatives for the treatment of parasitic diseases and their preparation and compositions. WO2015123456A1 patent (2009). Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5577131","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":386024132,"identity":"387117ac-d88d-418b-928b-ccc0b46f4404","order_by":0,"name":"Xiang Lyu","email":"","orcid":"https://orcid.org/0000-0003-1227-8563","institution":"Institute for Basic Science (IBS)/ Korea Advanced Institute of Science and Technology (KAIST)","correspondingAuthor":false,"prefix":"","firstName":"Xiang","middleName":"","lastName":"Lyu","suffix":""},{"id":386024133,"identity":"f4ffef70-a1fa-402b-b729-7ea1581d6118","order_by":1,"name":"Eojin Jeon","email":"","orcid":"https://orcid.org/0009-0008-5736-5859","institution":"Korea Advanced Institute of Science and Technology (KAIST)/ Institute for Basic Science (IBS)","correspondingAuthor":false,"prefix":"","firstName":"Eojin","middleName":"","lastName":"Jeon","suffix":""},{"id":386024134,"identity":"9e00e2a7-cbb7-4ef2-842e-436fae2ed4da","order_by":2,"name":"Changhyeon Seo","email":"","orcid":"https://orcid.org/0000-0002-9064-8489","institution":"Korea Advanced Institute of Science and Technology (KAIST)","correspondingAuthor":false,"prefix":"","firstName":"Changhyeon","middleName":"","lastName":"Seo","suffix":""},{"id":386024135,"identity":"abda36ea-27a5-4c35-a2ec-77ef5907a960","order_by":3,"name":"Dongwook Kim","email":"","orcid":"https://orcid.org/0000-0003-4432-371X","institution":"Institute for Basic Science (IBS)/ Korea Advanced Institute of Science and Technology (KAIST)","correspondingAuthor":false,"prefix":"","firstName":"Dongwook","middleName":"","lastName":"Kim","suffix":""},{"id":386024136,"identity":"2511ef83-caa8-47cb-8eb4-d9f9c81f3c6b","order_by":4,"name":"Sukbok Chang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA4klEQVRIiWNgGAWjYDACCQY2ECUnwcDYABHhIVKLMVjLAVK0JM4AkURpkZ/d/OzBzx216TPbDzd//sBgJ8/Ac/YBXi0Gd46ZG/aeOZ47myexTeIAQ7JhA2+7AX4tEjlsErxtx3LnMSS2AR3GnMDAz0bAYTNy2CT/th1Ll+N/2PzhAEM9YS0MN3LYpHnbahKkJRIbgA47nMDA24ZfB9AvZtKybQcMZ8542CZxxuC4YRvPMQIOA4aY5Nu2OnmJ8+mPP1RUVMvz86QRcBgEHIZZysBAyCcwUEekulEwCkbBKBiRAAD7Y0ILjAZG2gAAAABJRU5ErkJggg==","orcid":"https://orcid.org/0000-0001-9069-0946","institution":"Institute for Basic Science (IBS)/ Korea Advanced Institute of Science and Technology (KAIST)","correspondingAuthor":true,"prefix":"","firstName":"Sukbok","middleName":"","lastName":"Chang","suffix":""}],"badges":[],"createdAt":"2024-12-04 06:45:41","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":true,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":true},"doi":"10.21203/rs.3.rs-5577131/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5577131/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":70689594,"identity":"8993bae0-60f1-4c0e-baa7-e858835fa829","added_by":"auto","created_at":"2024-12-05 16:08:51","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":181241,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eHydroamidation of vinylarene to access β-arylethylamine. a,\u003c/strong\u003e Representative β-arylethylamine in drugs and natural products. \u003cstrong\u003eb, \u003c/strong\u003eDirect hydroamination strategies of amines and alkenes. \u003cstrong\u003ec,\u003c/strong\u003eTransition metal hydrides catalyzed umpolung hydroamination on benzylic regiocontrol.\u003cstrong\u003e d, \u003c/strong\u003eThis work:\u003cstrong\u003e \u003c/strong\u003eNi-catalyzed asymmetric homobenzylic hydroamidation of vinylarenes to chiral β-(hetero)arylethylamides.\u003c/p\u003e","description":"","filename":"image1.png","url":"https://assets-eu.researchsquare.com/files/rs-5577131/v1/64781e049a027c7412bc9b75.png"},{"id":70689595,"identity":"203d396f-9618-49d1-8059-288f1aad9949","added_by":"auto","created_at":"2024-12-05 16:08:51","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":460831,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eSubstrate scope of homobenzylic amidations.\u003c/strong\u003e Standard reaction conditions: \u003cstrong\u003e1\u003c/strong\u003e (0.1 mmol), \u003cstrong\u003e2\u003c/strong\u003e (2.0 equiv.), NiCl\u003csub\u003e2\u003c/sub\u003e×glyme (10 mol%), ligand \u003cstrong\u003eL1\u003c/strong\u003e (15 mol%), DMMS (4.0 equiv.), EtOH (2.0 equiv.), LiCl (50 mol%) and KF (1.0 equiv.) in DMA/MeCN (5:1, 0.17 M) at 0 °C for 18 h under N\u003csub\u003e2.\u003c/sub\u003e Yields refer to isolated products. Unless otherwise specified, the regioisomeric ratio (r.r.) was exceeded 15:1. \u003csup\u003ea\u003c/sup\u003eEtOH replaced with PhOH, DMA/MeCN (11:1), reaction at – 10 °C for 36 h. \u003csup\u003eb\u003c/sup\u003eEtOH replaced with PhOH, reaction at – 10 °C for 36 h.\u003c/p\u003e","description":"","filename":"image2.png","url":"https://assets-eu.researchsquare.com/files/rs-5577131/v1/4b686abc7e62b76b6268622f.png"},{"id":70689602,"identity":"0b066c19-517b-4845-a719-45c6f88cc390","added_by":"auto","created_at":"2024-12-05 16:08:53","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":275293,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eMechanistic studies.\u003c/strong\u003e \u003cstrong\u003ea, \u003c/strong\u003eControl experiment with Ni\u003csup\u003eI\u003c/sup\u003eCl initiating dioxazolone \u003cstrong\u003e2a\u003c/strong\u003e. \u003cstrong\u003eb, \u003c/strong\u003eHydroamiation of tri-substituted alkene \u003cstrong\u003e12\u003c/strong\u003e. \u003cstrong\u003ec, \u003c/strong\u003eIsotope-labeling experiments. \u003cstrong\u003ed,\u003c/strong\u003e Alternative path towards amido-nickel intermediates. \u003cstrong\u003ee, \u003c/strong\u003eDFT study of the reaction initiation and the key amidonickelation step. Computational level: SMD(\u003cem\u003eN,N\u003c/em\u003e-dimethylformamide)-M06/6-311+G**|SDD(Ni)//B3LYP/6-31G**|SDD(Ni).\u003c/p\u003e","description":"","filename":"image3.png","url":"https://assets-eu.researchsquare.com/files/rs-5577131/v1/f86af89cd76ec8fbf662ea45.png"},{"id":70689613,"identity":"f1ee0c16-2f48-489e-a3fd-f5271a184dcb","added_by":"auto","created_at":"2024-12-05 16:08:54","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":241226,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eSynthetic applications in pharmaceuticals. a, \u003c/strong\u003eDerivatization of chiral amides to Chobenzorex, Diderx and Selegiline.\u003cstrong\u003e b, \u003c/strong\u003eSynthesis of Tamsulosin analog. \u003cstrong\u003ec,\u003c/strong\u003e Streamlined preparation of Sacubitril.\u003c/p\u003e","description":"","filename":"image4.png","url":"https://assets-eu.researchsquare.com/files/rs-5577131/v1/c85e3c9447b335ac7fb72780.png"},{"id":70689610,"identity":"5f1fd2e1-2ad4-4d50-ace2-7f3fc64b0072","added_by":"auto","created_at":"2024-12-05 16:08:54","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":166672,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eSynthetic applications in natural products. a, \u003c/strong\u003eKey intermediate synthesis of Schwarzinicine A.\u003cstrong\u003e b, \u003c/strong\u003eConcise route to Cipargamin.\u003c/p\u003e","description":"","filename":"image5.png","url":"https://assets-eu.researchsquare.com/files/rs-5577131/v1/b2d76c114519227180e48415.png"},{"id":70690033,"identity":"6133b2aa-8117-45a6-8e20-45a1967bdc71","added_by":"auto","created_at":"2024-12-05 16:16:59","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2071254,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5577131/v1/d5146847-0769-4487-9296-05ed4895fa44.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eNickel-Catalyzed Asymmetric Homobenzylic Hydroamidation of Vinylarenes: A Strategy for Chiral β-(Hetero)arylethylamides\u003c/strong\u003e\u003c/p\u003e","fulltext":[{"header":"Introduction","content":"\u003cp\u003eThe β-(hetero)arylethylamine scaffold represents as a cornerstone in both natural product and pharmaceutical development, owing to its diverse biological properties and wide-ranging therapeutic potential (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003ea)\u003csup\u003e1,2\u003c/sup\u003e. Prominent examples include catecholamines such as dopamine, norepinephrine, and epinephrine, which play critical roles in regulating motor functions, stress responses, and mood through their actions in dopaminergic neurons\u003csup\u003e3\u003c/sup\u003e. To meet the growing demand for these valuable frameworks, several innovative approaches have been developed\u003csup\u003e4\u0026ndash;6\u003c/sup\u003e, including reductive amination\u003csup\u003e7\u003c/sup\u003e, transition metal-catalyzed Suzuki-Miyaura couplings\u003csup\u003e8\u003c/sup\u003e, ring-opening of aziridines\u003csup\u003e9\u003c/sup\u003e, arylamination of alkenes\u003csup\u003e10\u0026ndash;13\u003c/sup\u003e, and radical mediated Truce-Smiles rearrangements\u003csup\u003e14\u0026ndash;16\u003c/sup\u003e. However, current methods often rely on engineered substrates or multi-step processes, limiting their practicality. Developing concise and efficient strategies, particularly with asymmetric control, remains a highly desirable goal.\u003c/p\u003e \u003cp\u003eHydroamination/amidation reaction of vinyl (hetero)arenes is especially considered as one of the most straightforward methods to access β-(hetero)arylethylamine motifs\u003csup\u003e17\u003c/sup\u003e. Hartwig's pioneering work utilized transition metals such as Ir, Rh, and Ru to activate amines, forming metal-amido intermediates that undergo styrene insertion with high \u003cem\u003eanti\u003c/em\u003e-Markovnikov selectivity (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eb)\u003csup\u003e18\u0026ndash;21\u003c/sup\u003e. Similarly, Beller\u003csup\u003e22\u003c/sup\u003e and Hultzsch\u003csup\u003e23\u003c/sup\u003e employed alkali metals, such as lithium and potassium derivatives, in catalyzing \u003cem\u003eanti\u003c/em\u003e-Markovnikov hydroamination of alkenes with high efficiency. However, these methods encounter significant challenges when applied to β-substituted styrenes (R\u0026thinsp;\u0026ne;\u0026thinsp;H). Moreover, achieving chiral amine products remains difficult, with the best reported enantioselectivity reaching only 14% e.e.\u003csup\u003e23\u003c/sup\u003e Photocatalytic strategies offer promising alternatives by oxidizing either styrenes to benzylic radical cations or amines to aminium radical cations, facilitating the rapid formation of β-arylethylamines (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eb).\u003csup\u003e24\u0026ndash;26\u003c/sup\u003e Nonetheless, asymmetric transformations involving radical cations remain limited.\u003c/p\u003e \u003cp\u003eTransition metal hydrides (TMH) have demonstrated unique catalytic activity in alkene hydrofunctionalization.\u003csup\u003e27,28\u003c/sup\u003e Notably, Hirano and Miura\u003csup\u003e29\u003c/sup\u003e as well as Zhu and Buchwald\u003csup\u003e30\u003c/sup\u003e pioneered that CuH, generated from copper and hydride sources, to catalyze the formal hydroamination of vinylarenes through umpolung strategies with electrophilic amino source\u003csup\u003e31\u003c/sup\u003e. This breakthrough has spurred extensive research in asymmetric hydroamination, leading to the protocols utilizing copper\u003csup\u003e32,33\u003c/sup\u003e and other earth-abundant metals like iron\u003csup\u003e34,35\u003c/sup\u003e, cobalt\u003csup\u003e36,37\u003c/sup\u003e, and nickel\u003csup\u003e38\u0026ndash;40\u003c/sup\u003e. Despite achieving diverse enantioselectivities, these hydroaminations consistently display regioselectivity toward C-N bond formation at the benzylic position, regardless of the mechanistic pathway \u003cem\u003evia\u003c/em\u003e MHAT or hydrometallation (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003ec). In contrast, homobenzylic functionalization using THMs remains exceedingly rare. To the best of our knowledge, Koh\u0026rsquo;s Fe-catalyzed homobenzylic hydroborylation is the only example reported to date\u003csup\u003e41\u003c/sup\u003e. Overcoming this intrinsic benzylic-amination regioselectivity is highly sought after, particularly in the asymmetric synthesis of privileged chiral β-arylethylamide frameworks, which are still inaccessible through conventional mechanistic paradigm.\u003c/p\u003e \u003cp\u003eTo address the aforementioned challenges, we herein introduce a general NiH strategy for the asymmetric homobenzylic hydroamidation of vinylarenes, achieving β-(hetero)arylethylamides with exceptional regio- and enantioselectivity (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003ed). Mechanistic studies suggest that the unique homobenzylic selectivity arises from transposed NiH catalysis, which proceeds \u003cem\u003evia\u003c/em\u003e a prior \u003cem\u003eN\u003c/em\u003e-activation pathway under kinetic control, generating a nickel-amido intermediate that undergoes migratory insertion into the alkene. Such regio- and enantio-control remain unattainable with conventional umpolung TMH strategies or direct hydroamidation methods. Additionally, the reaction features excellent functional group tolerance, rendering it highly applicable for late-stage modification of bioactive molecules. We further demonstrate the practicality of this approach in the concise synthesis of natural products and pharmaceutical compounds. Importantly, the reliance on readily accessible starting materials (dioxazolones\u003csup\u003e42\u003c/sup\u003e and styrenes) highlights the broad applicability and transformative potential of this approach in synthetic and medicinal chemistry.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e"},{"header":"Results and discussion","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\n \u003ch2\u003eReaction development\u003c/h2\u003e\n \u003cp\u003eAryl-substituted alkenes, as demonstrated in the NiH-catalyzed amidation studies by Zhu\u003csup\u003e38\u0026ndash;40\u003c/sup\u003e, exhibit pronounced electronic effects that consistently direct C\u0026ndash;N bond formation at the benzylic carbon. Building on our recent works\u003csup\u003e43\u0026ndash;45\u003c/sup\u003e, which explored nickel-amido transfer initialed by nickel hydride\u003csup\u003e46,47\u003c/sup\u003e, we were intrigued to extend this strategy to intermolecular reactions with vinylarenes, seeking to shift the conventional regioselectivity to less accessible homobenzylic position. We began our investigation by using trans-\u0026beta;-methylstyrene \u003cstrong\u003e1a\u003c/strong\u003e and 3-phenyl-1,4,2-dioxazol-5-one \u003cstrong\u003e2a\u003c/strong\u003e as model substrates under the conditions hinted at by our previous study\u003csup\u003e46\u003c/sup\u003e. The reaction employed NiCl\u003csub\u003e2\u003c/sub\u003e\u0026sdot;glyme as the catalyst, dimethoxydimethylsilane (DMMS) as the hydride source, EtOH as a proton donor (\u003cem\u003evide infra\u003c/em\u003e), K\u003csub\u003e3\u003c/sub\u003ePO\u003csub\u003e4\u003c/sub\u003e base to activate silane\u003csup\u003e40\u003c/sup\u003e, and LiCl to promote dioxazolone initiation (Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e). To our delight, the homobenzylic product \u003cstrong\u003e3a\u003c/strong\u003e was obtained as the major regioisomer with promising enantioselectivity by using chiral pyridine-oxazoline ligand \u003cstrong\u003eL1\u003c/strong\u003e (14:1 r.r. and 95:5 e.r., entry 1). Adjustments to the PyOx ligands revealed that reducing steric bulk at the pyridine site diminished enantioselectivity (entries 2\u0026ndash;3), while the methyl-substituted \u003cstrong\u003eL4\u003c/strong\u003e further decreased regioselectivity (entry 4). Similarly, smaller substituent on oxazoline resulted in lower yield (entry 5). Notably, \u003cstrong\u003eL6\u003c/strong\u003e, previously effective for benzylic hydroamidation in Zhu\u0026rsquo;s work\u003csup\u003e38,39\u003c/sup\u003e, proved ineffective here, yielding a mixture of \u003cstrong\u003e3a\u003c/strong\u003e and \u003cstrong\u003e3a\u0026rsquo;\u003c/strong\u003e (15% and 7% respectively, entry 6). Solvent screening showed that dimethylacetamide (DMA) slightly improved yield and enantioselectivity, whereas acetonitrile (MeCN) significantly increased the yield but compromised regio- and enantiocontrol (entry 8\u0026ndash;9). Through further exhaustive screening of other parameters (see the supporting information of details), it was identified that a 5:1 DMA/MeCN co-solvent, combined with KF as the base replacing K\u003csub\u003e3\u003c/sub\u003ePO\u003csub\u003e4\u003c/sub\u003e, achieved a 94% yield with an excellent 98:2 e.r.\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\u003cstrong\u003eTable 1. Reaction optimization for enantioselective homobenzylic hydroamidation\u003c/strong\u003e\n \u003ctable id=\"Tab1\" border=\"1\"\u003e\u003c/table\u003e\n \u003cp\u003e\u003cimg 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\"\u003e\u003cbr\u003e\u003c/p\u003e\n \u003c/div\u003e\n \u003cp\u003eStandard reaction conditions: \u003cstrong\u003e1a\u003c/strong\u003e (0.1 mmol), \u003cstrong\u003e2a\u003c/strong\u003e (2.0 equiv.), NiCl\u003csub\u003e2\u003c/sub\u003e\u0026sdot;glyme (10 mol%), ligand \u003cstrong\u003eL\u003c/strong\u003e (15 mol%), DMMS (4.0 equiv.), EtOH (2.0 equiv.), LiCl (50 mol%) and KF (1.0 equiv.) in DMA/MeCN (5:1, 0.17 M) at 0 \u0026deg;C for 18 h under N\u003csub\u003e2\u003c/sub\u003e. \u003csup\u003ea\u003c/sup\u003eYield was determined by \u003csup\u003e1\u003c/sup\u003eH NMR analysis (internal standard: dibromomethane). \u003csup\u003eb\u003c/sup\u003eEnantioselectivity was determined by chiral HPLC analysis. n.d. not determined.\u003c/p\u003e\n\u003c/div\u003e\n\u003ch3\u003eSubstrate scope\u003c/h3\u003e\n\u003cp\u003eWith the optimal reaction conditions established, we explored the generality of the enantioselective homobenzylic hydroamidation of vinylarenes (Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e). A broad range of vinylarenes successfully participated in the reaction, delivering the desired products (\u003cstrong\u003e3a\u0026ndash;3v\u003c/strong\u003e) with excellent enantioselectivities (over 94:6 e.r.). The methodology exhibited high tolerance towards a variety of functional groups, including methoxy (\u003cstrong\u003e3b\u003c/strong\u003e, \u003cstrong\u003e3l\u003c/strong\u003e), halogens (\u003cstrong\u003e3d\u003c/strong\u003e, \u003cstrong\u003e3m\u003c/strong\u003e, \u003cstrong\u003e3n\u003c/strong\u003e, \u003cstrong\u003e3t\u003c/strong\u003e), trifluoromethyl (\u003cstrong\u003e3e\u003c/strong\u003e), tertiary amine (\u003cstrong\u003e3g\u003c/strong\u003e), thioether (\u003cstrong\u003e3h\u003c/strong\u003e), sulfonyl (\u003cstrong\u003e3i\u003c/strong\u003e), sulfonamide (\u003cstrong\u003e3j\u003c/strong\u003e), boronate ester (\u003cstrong\u003e3k\u003c/strong\u003e), aldehyde (\u003cstrong\u003e3o\u003c/strong\u003e), ester (\u003cstrong\u003e3p\u003c/strong\u003e), cyano (\u003cstrong\u003e3q\u003c/strong\u003e), ketone (\u003cstrong\u003e3r\u003c/strong\u003e), hydroxyl (\u003cstrong\u003e3s\u003c/strong\u003e), and acetal (\u003cstrong\u003e3v\u003c/strong\u003e). The absolute configuration of \u003cstrong\u003e3n\u003c/strong\u003e was unambiguously determined through single-crystal X-ray diffraction (SCXRD) analysis. Significantly, the reaction also accommodated vinylarenes with extended alkyl chains (\u003cstrong\u003e4a\u0026ndash;4f\u003c/strong\u003e), affording the corresponding products in moderate to high yields (46\u0026ndash;82%) and excellent enantioselectivities (up to 99:1 e.r.). Substrates bearing alkyl chloro (\u003cstrong\u003e4a\u003c/strong\u003e), nitro (\u003cstrong\u003e4d\u003c/strong\u003e) and furan (\u003cstrong\u003e4e\u003c/strong\u003e) groups were well-tolerated under the standard conditions. Furthermore, heteroarenes featuring medicinally relevant scaffolds, including pyridine, thiophene, benzofuran, protected indole, benzothiophene (\u003cstrong\u003e5d\u003c/strong\u003e confirmed by SCXRD), benzoxazole and benzothiazole, underwent the reaction smoothly, affording products (\u003cstrong\u003e5a\u0026ndash;5h\u003c/strong\u003e) with consistently high enantioselectivities. Interestingly, a ferrocene derivative, representing a distinct class of organometallic framework, also participated successfully, to give amidated product \u003cstrong\u003e5i\u003c/strong\u003e (confirmed by SCXRD) with a 97:3 e.r.\u003c/p\u003e\n\u003cp\u003eDioxazolones are easily prepared in two high-yielding steps from the corresponding abundant carboxylic acids. Regarding the scope of aryl dioxazolones, those bearing \u003cem\u003epara\u003c/em\u003e-substituents with varied electronic properties (neutral, electron-donating or electron-withdrawing) proved to be excellent amidating reagents, yielding products (\u003cstrong\u003e6a\u0026ndash;6f\u003c/strong\u003e) with excellent enantiocontrol. Notably, even sterically demanding \u003cem\u003eortho\u003c/em\u003e-substituent (\u003cstrong\u003e6g\u003c/strong\u003e) and sterically less demanding methyl group (\u003cstrong\u003e6h\u003c/strong\u003e) reacted efficiently under the current conditions. In addition, a chiral dioxazolone, derived from the natural amino acid valine, provided products \u003cstrong\u003e6i\u003c/strong\u003e and \u003cstrong\u003e6j\u003c/strong\u003e with high diastereoselectivity respectively, determined by the enantiomer of the chiral ligand. This observation further implied the absence of a match/mismatch effect during the present asymmetric amidation. Finally, the catalytic system demonstrated remarkable versatility with structurally complex and biologically relevant substrates, including glucose (\u003cstrong\u003e7a\u003c/strong\u003e) and estrone (\u003cstrong\u003e7b\u003c/strong\u003e) derivatives.\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003ch3\u003eMechanistic investigations\u003c/h3\u003e\n\u003cp\u003eBuilding on the demonstrated broad substrate scope, we conducted a series of control experiments to rationalize the reaction mechanism. Given that nickel (I) hydride is generated from the corresponding nickel (I) chloride precursor, we investigated whether Ni\u003csup\u003eI\u003c/sup\u003eCl could initiate \u003cem\u003eN\u003c/em\u003e-activation. A stoichiometric amount of \u003cstrong\u003eL1\u003c/strong\u003eNi\u003csup\u003eI\u003c/sup\u003eCl (\u003cem\u003ein situ\u003c/em\u003e generated \u003cem\u003evia\u003c/em\u003e comproportionation)\u003csup\u003e48\u003c/sup\u003e was applied under standard conditions with dioxazolone \u003cstrong\u003e2a\u003c/strong\u003e in the absence of alkene (Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003ea). The formation of carbamate \u003cstrong\u003e8\u003c/strong\u003e in 76% yield indicated that, while Ni\u003csup\u003eI\u003c/sup\u003eCl is capable of activating \u003cstrong\u003e2a\u003c/strong\u003e, a rapid Curtius-type rearrangement occurred before the nickel-nitrenoid could transform into the nickel-amido species, likely due to the electron-deficient nature of the Ni center induced by the chloride ligand\u003csup\u003e49\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003eA trisubstituted olefin \u003cstrong\u003e12\u003c/strong\u003e was subjected to the standard conditions at room temperature, yielding amide \u003cstrong\u003e13\u003c/strong\u003e with excellent diastereo- and enantioselectivity, albeit in a modest yield (Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003eb). The \u003cem\u003ecis\u003c/em\u003e-relationship between the newly installed amide and hydrogen atom was confirmed by SXCRD, supporting a \u003cem\u003esyn\u003c/em\u003e-migratory insertion mechanism. Isotope-labeling experiments revealed that when EtOH-\u003cem\u003ed6\u003c/em\u003e was used, no deuterium incorporation occurred (Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003ec-i). In contrast, the use of deuterated hydrosilane (DMMS-\u003cem\u003ed\u003c/em\u003e) led to exclusive deuterium incorporation at the benzylic position of product \u003cstrong\u003e3a-\u003c/strong\u003e\u003cstrong\u003ed\u003c/strong\u003e (\u0026gt;\u0026thinsp;20:1 d.r.), again in a \u003cem\u003esyn\u003c/em\u003e-addition manner, indicating that dioxazolone activation by NiH is the initiating step (Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003ec-ii).\u003c/p\u003e\n\u003cp\u003eThe feasibility of the amidonickelation step was further explored by generating the nickel-amido intermediate \u003cstrong\u003e11\u003c/strong\u003e \u003cem\u003ein situ\u003c/em\u003e through an alternative oxidative addition strategy. Stoichiometric amounts of the labile Cornella\u0026rsquo;s\u003csup\u003e50\u003c/sup\u003e Ni(0) species (\u003cstrong\u003e9-Ni\u003c/strong\u003e\u003csup\u003e\u003cstrong\u003e0\u003c/strong\u003e\u003c/sup\u003e) and \u003cem\u003eN\u003c/em\u003e-chlorobenzamide \u003cstrong\u003e10\u003c/strong\u003e were employed under the standard conditions with an excess of alkene (\u003cstrong\u003e1a\u003c/strong\u003e, 10 equiv., Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003ed). Although the amidation product was obtained in a moderate yield of 12%, the reaction maintained high enantioselectivity (91:9 e.r.), providing evidence that the proposed amidonickelation is operative.\u003c/p\u003e\n\u003cp\u003eDensity functional theory (DFT) calculations were performed to elucidate the key steps in the reaction mechanism using model substrate \u003cstrong\u003e1a\u003c/strong\u003e and dioxazolone \u003cstrong\u003e2a\u003c/strong\u003e (Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003ee). The calculations revealed negligible thermodynamic differences in coordination state of nickel (I) hydride (\u003cstrong\u003eint-B\u003c/strong\u003e) between with \u003cstrong\u003e1a\u003c/strong\u003e and \u003cstrong\u003e2a\u003c/strong\u003e. However, the \u003cstrong\u003eNi\u003c/strong\u003e\u003csup\u003e\u003cstrong\u003eI\u003c/strong\u003e\u003c/sup\u003e\u003cstrong\u003eH\u003c/strong\u003e species favors an irreversible \u003cem\u003eN\u003c/em\u003e-activation pathway, which lowers the barrier for hydronickelation process of styrene by 6.8 kcal\u0026sdot;mol\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e compared to conventional benzylic amidation. Following this step, the Ni-nitrenoid species is converted into Ni-amido intermediate\u003csup\u003e46,47,51,52\u003c/sup\u003e, which undergoes a regioselective olefin insertion, yielding the desired homobenzylic amidation product. Computational analysis provides further insights into the stereocontrol step (Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003ee). Transition state modeling of the amidonickelation revealed that one of the two Ni\u0026ndash;N bonds of the bidentate PyOx ligand is either elongated or dissociated. Among the possible transition state geometries, \u003cstrong\u003eTS\u003c/strong\u003e\u003cstrong\u003e-Sa\u003c/strong\u003e and \u003cstrong\u003eTS\u003c/strong\u003e\u003cstrong\u003e-Ra\u003c/strong\u003e emerged as the two lowest-energy conformers leading to respective enantiomers. The formation of \u003cstrong\u003e(\u003c/strong\u003e\u003cstrong\u003eS\u003c/strong\u003e\u003cstrong\u003e)-3a\u003c/strong\u003e \u003cem\u003evia\u003c/em\u003e \u003cstrong\u003eTS\u003c/strong\u003e\u003cstrong\u003e-Sa\u003c/strong\u003e is energetically favored, as this geometry minimizes steric interactions between the phenyl ring of the substrate and the oxazoline moiety of the ligand present in \u003cstrong\u003eTS-\u003c/strong\u003e\u003cstrong\u003eRa\u003c/strong\u003e. The calculated energy difference between these transition states (\u0026Delta;\u0026Delta;G\u003csup\u003e\u0026Dagger;\u003c/sup\u003e\u003csub\u003e\u003cem\u003eS\u0026minus;R\u003c/em\u003e\u003c/sub\u003e = \u0026minus;\u0026thinsp;1.59 kcal\u0026sdot;mol\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e) aligns well with the observed enantioselectivity (Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e, entry 7).\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003ch3\u003eSynthetic applications in pharmaceuticals\u003c/h3\u003e\n\u003cp\u003eTo illustrate the current method in practical applications, we showcased the streamlined preparation of pharmaceutical drugs with notable efficiency. For example, simple derivatization of the chiral amidated products \u003cstrong\u003e14\u003c/strong\u003e, \u003cstrong\u003e(\u003c/strong\u003e\u003cstrong\u003eS\u003c/strong\u003e\u003cstrong\u003e)-3a\u003c/strong\u003e and \u003cstrong\u003e(\u003c/strong\u003e\u003cstrong\u003eR\u003c/strong\u003e\u003cstrong\u003e)-3a\u003c/strong\u003e shown in Fig. \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003ea, led to medicinally relevant molecules. Chobenzorex (\u003cstrong\u003e15\u003c/strong\u003e) was accessed in 66% yield through carbonyl reduction of amide \u003cstrong\u003e14\u003c/strong\u003e with PhSiH\u003csub\u003e3\u003c/sub\u003e, catalyzed by tris(pentafluorophenyl)borane (BCF). \u003cem\u003eN\u003c/em\u003e-Methylation and carbonyl reduction of \u003cstrong\u003e(\u003c/strong\u003e\u003cstrong\u003eS\u003c/strong\u003e\u003cstrong\u003e)-3a\u003c/strong\u003e afforded Didrex in 78% over two steps. \u003cem\u003eN\u003c/em\u003e-Methylation of \u003cstrong\u003e(\u003c/strong\u003e\u003cstrong\u003eR\u003c/strong\u003e\u003cstrong\u003e)-3a\u003c/strong\u003e, followed by benzoyl group deprotection by Schwartz\u0026apos;s reagent (Cp\u003csub\u003e2\u003c/sub\u003eZrHCl) and \u003cem\u003eN\u003c/em\u003e-propargylation provided Selegiline in 43% yield over three steps. Merging unprotected sulfonamide \u003cstrong\u003e18\u003c/strong\u003e and ether-tethered dioxazolone \u003cstrong\u003e19\u003c/strong\u003e smoothly gave amide \u003cstrong\u003e20\u003c/strong\u003e in excellent enantioselectivity (98:2 e.r.), which, after carbonyl reduction, afforded a Tamsulosin analog. The previous synthetic route\u003csup\u003e53\u003c/sup\u003e to Sacubitril (\u003cstrong\u003e27\u003c/strong\u003e) started from chiral amino ester \u003cstrong\u003e23\u003c/strong\u003e taking 9 steps. In contrast, our method began with substrate \u003cstrong\u003e22\u003c/strong\u003e and required only 6 steps to complete synthesis, including 4 steps to form alkene \u003cstrong\u003e24\u003c/strong\u003e, followed by hydroamidation and deprotection.\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003ch3\u003eSynthetic applications in natural products\u003c/h3\u003e\n\u003cp\u003eIn addition, current protocol is also applicable to natural product total synthesis by altering retrosynthetic logic (Fig. \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e). As a case in point, an amide \u003cstrong\u003e30\u003c/strong\u003e (Fig. \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003ea), serving as the precursor to Schwarzincine A, a natural product isolated from \u003cem\u003eFicus schwarzii\u003c/em\u003e\u003csup\u003e54\u003c/sup\u003e, was synthesized \u003cem\u003evia\u003c/em\u003e homobenzylic hydroamidation with excellent enantioselectivity (98:2 e.r.). This approach combined alkene \u003cstrong\u003e28\u003c/strong\u003e and dioxazolone \u003cstrong\u003e29\u003c/strong\u003e, producing a key intermediate that, with only one additional carbonyl reduction, could yield the final natural product. A new access to the \u003cem\u003eanti\u003c/em\u003e-malarial natural product Cipargamin\u003csup\u003e55\u003c/sup\u003e (\u003cstrong\u003e37\u003c/strong\u003e) can now be synthesized from indole \u003cstrong\u003e31\u003c/strong\u003e (Fig. \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003eb). In the patented route\u003csup\u003e56\u003c/sup\u003e, 9 steps were required, including a chiral resolution step, to obtain the chiral amide \u003cstrong\u003e32\u003c/strong\u003e. By applying our hydroamidation strategy, the chiral amide \u003cstrong\u003e34\u003c/strong\u003e was achieved in 87% yield with a 98:2 e.r. in just 5 steps from the same starting material \u003cstrong\u003e31\u003c/strong\u003e. A subsequent global deprotection and Pictet-Spengler cyclization then afforded the natural product \u003cstrong\u003e37\u003c/strong\u003e in 64% yield over two additional steps.\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eIn this work, we have developed a highly efficient Ni-catalyzed asymmetric homobenzylic hydroamidation reaction, achieving an excellent level of homobenzylic selectivity and remarkable enantio-control. This method exhibits notable functional group tolerance, utilizing readily available feedstocks to deliver chiral β-(hetero)arylethylamides with unprecedented regio- and enantioselectivity. Mechanistic studies revealed the unique role of transposed NiH catalysis in driving the reaction, providing new insights into the formation of nickel-amido intermediates and their subsequent transformations. The utility of this methodology was demonstrated through its application in the concise synthesis of pharmaceutical compounds, such as Sacubitril, and natural product, including Schwarzincine A and Cipargamin. We anticipate that our studies will broadly advance synthetic chemistry, enabling enantioselective amidation at the challenging homobenzylic position and inspiring further innovations in asymmetric catalysis.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e \u003ch2\u003eCorresponding Author\u003c/h2\u003e \u003cp\[email protected]\u003c/p\u003e \u003c/p\u003e\u003cp\u003e \u003ch2\u003eCompeting interests\u003c/h2\u003e \u003cp\u003eThe authors declare no competing interests.\u003c/p\u003e \u003c/p\u003e\u003ch2\u003eAuthor Contributions\u003c/h2\u003e \u003cp\u003eS.C. conceived and supervised the project. C.S. contributed to the initial asymmetric hydroamination optimization. X.L. optimized the reaction conditions for asymmetric hydroamination, carried out the DFT calculations, and performed and analyzed the experiments for the reaction scope and mechanistic investigations. E.J. contributed to expanding the reaction scope. D.K. performed the X-ray crystallographic analysis. X.L. and S.C. organized the research and wrote the manuscript. All authors discussed the results and commented on the manuscript.\u003c/p\u003e\u003ch2\u003eAcknowledgements\u003c/h2\u003e \u003cp\u003eThis research was supported by the Institute for Basic Science (IBS-R010-D1) in South Korea. The authors thank Dr. Qing Wang, Mr. Hoonchul Choi and Prof. Sangwon Seo (DGIST) for helpful discussions. Computational works for this research were performed on the High Performance Computing Resources in the IBS Research Solution Center.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003e Nieto, C. 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WO2015123456A1 patent (2009).\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[{"identity":"716cf2b9-4fc0-4331-ac79-7d3f8b0eff55","identifier":"10.13039/501100010446","name":"Institute for Basic Science","awardNumber":"IBS-R010-D1","order_by":0}],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Institute for Basic Science","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Asymmetric catalysis; Synthetic chemistry methodology; Homogeneous catalysis; Stereochemistry","lastPublishedDoi":"10.21203/rs.3.rs-5577131/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5577131/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eHerein, we introduce a Ni-catalyzed asymmetric homobenzylic hydroamidation reaction that efficiently addresses the dual challenge of achieving regio- and enantioselectivity in the synthesis of β-(hetero)arylethylamides. By employing a transposed NiH catalysis approach, this method facilitates the formation of key nickel-amido intermediates, enabling migratory insertion into alkenes to produce the desired products. The reaction exhibits excellent functional group tolerance and utilizes simple, readily available starting materials, thereby readily accessing pharmaceutical and natural product frameworks. Notably, the approach was applied to the synthesis of pharmaceutical compounds and natural products, such as Sacubitril and Cipargamin, showcasing its potential to streamline the process with high yields and selectivity. This work underscores the transformative role of NiH catalysis in expanding the toolbox of asymmetric hydroamidation.\u003c/p\u003e","manuscriptTitle":"Nickel-Catalyzed Asymmetric Homobenzylic Hydroamidation of Vinylarenes: A Strategy for Chiral β-(Hetero)arylethylamides","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-12-05 16:08:17","doi":"10.21203/rs.3.rs-5577131/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"c6098e8d-6b7e-4614-a317-d50ea09dfa13","owner":[],"postedDate":"December 5th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":41126385,"name":"Organic Chemistry"}],"tags":[],"updatedAt":"2024-12-05T16:08:18+00:00","versionOfRecord":[],"versionCreatedAt":"2024-12-05 16:08:17","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5577131","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5577131","identity":"rs-5577131","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}