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Liu Q, Yong JY, Zhang J, Ban T, Li XQ. C-H acylation of aniline derivatives with α-oxocarboxylic acids using ruthenium catalyst. Org Biomol Chem 2022; 20:6890-6896. [PMID: 35972339 DOI: 10.1039/d2ob01212j] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
An efficient and convenient synthetic strategy for ruthenium(II)-catalyzed ortho-acylation of N-(2-pyridyl)-anilines using α-oxycarboxylic acids as acyl sources is described. The procedure can smoothly proceed under mild conditions, showing good functional group tolerance. Valuable ortho-acylated aniline products have been obtained with moderate to good yields. Furthermore, the reaction could be easily scaled up to the gram scale.
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Affiliation(s)
- Qiong Liu
- School of Chemical and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China.
| | - Jia-Yuan Yong
- School of Chemical and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China.
| | - Jing Zhang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, P. R. China
| | - Tao Ban
- School of Chemical and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China.
| | - Xu-Qin Li
- School of Chemical and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China.
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2
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Yang F, Xu S, Fan H, Zhao X, Zhang X. One‐Pot Synthesis of 2‐Aminobenzophenones from 2‐Alkynyl Arylazides Catalyzed by Pd and Cu Precursors. European J Org Chem 2021. [DOI: 10.1002/ejoc.202100772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Fan Yang
- Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources College of Chemical Engineering Nanjing Forestry University Nanjing 210037 People's Republic of China
| | - Shijie Xu
- Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources College of Chemical Engineering Nanjing Forestry University Nanjing 210037 People's Republic of China
| | - Hui Fan
- Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources College of Chemical Engineering Nanjing Forestry University Nanjing 210037 People's Republic of China
| | - Xuechun Zhao
- Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources College of Chemical Engineering Nanjing Forestry University Nanjing 210037 People's Republic of China
| | - Xiaoxiang Zhang
- Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources College of Chemical Engineering Nanjing Forestry University Nanjing 210037 People's Republic of China
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Yu J, Moon HR, Min BK, Kim JN. 2-Arylindoles: A New Entry to Transition Metal-free Synthesis of 2-Aminobenzophenones. B KOREAN CHEM SOC 2016. [DOI: 10.1002/bkcs.10796] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Affiliation(s)
- Jin Yu
- Department of Chemistry and Institute of Basic Science; Chonnam National University; Gwangju 500-757 Korea
| | - Hye Ran Moon
- Department of Chemistry and Institute of Basic Science; Chonnam National University; Gwangju 500-757 Korea
| | - Beom Kyu Min
- Department of Chemistry and Institute of Basic Science; Chonnam National University; Gwangju 500-757 Korea
| | - Jae Nyoung Kim
- Department of Chemistry and Institute of Basic Science; Chonnam National University; Gwangju 500-757 Korea
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4
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Chen J, Ye L, Su W. Palladium-catalyzed direct addition of arylboronic acids to 2-aminobenzonitrile derivatives: synthesis, biological evaluation and in silico analysis of 2-aminobenzophenones, 7-benzoyl-2-oxoindolines, and 7-benzoylindoles. Org Biomol Chem 2014; 12:8204-11. [PMID: 25198908 DOI: 10.1039/c4ob00978a] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
A palladium-catalyzed direct addition of arylboronic acids to unprotected 2-aminobenzonitriles has been developed, leading to a wide range of 2-aminobenzophenones with moderate to excellent yields. The transformation has broad scope and high functional group tolerance. Moreover, 2-oxoindoline-7-carbonitrile and indole-7-carbonitrile were applicable to this process for the construction of 7-benzoyl-2-oxoindolines and 7-benzoylindoles, respectively. Among the compounds examined, compound 4e possessed the most potent anticancer activity against H446 and HGC-27 in vitro, with IC50 values of 0.02 μmol L(-1) and 0.09 μmol L(-1), respectively, while compound 4a showed the best potent anticancer activity against SGC-7901 with an IC50 value of 0.01 μmol L(-1). Furthermore, we also performed in silico molecular docking calculations to investigate the interaction mode and binding affinity between the examined compounds and their tubulin target.
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Affiliation(s)
- Jiuxi Chen
- College of Chemistry & Materials Engineering, Wenzhou University, Wenzhou 325035, China
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5
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XIE AIHUA, CLARK SHAWNAR, PRASANNA SIVAPRAKASAM, DOERKSEN ROBERTJ. Three-dimensional quantitative structure-farnesyltransferase inhibition analysis for some diaminobenzophenones. J Enzyme Inhib Med Chem 2009; 24:1220-8. [PMID: 19912055 PMCID: PMC10725738 DOI: 10.3109/14756360902781389] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
A 3D-QSAR investigation of 95 diaminobenzophenone yeast farnesyltransferase (FT) inhibitors selected from the work of Schlitzer et al. showed that steric, electrostatic, and hydrophobic properties play key roles in the bioactivity of the series. A CoMFA/CoMSIA combined model using the steric and electrostatic fields of CoMFA together with the hydrophobic field of CoMSIA showed significant improvement in prediction compared with the CoMFA steric and electrostatic fields model. The similarity of the 3D-QSAR field maps for yeast FT inhibition activity (from this work) and for antimalarial activity data (from previous work) and the correlation between those activities are discussed.
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Affiliation(s)
- AIHUA XIE
- Department of Medicinal Chemistry, School of Pharmacy, University of Mississippi, University, MS, 38677-1848, USA
| | - SHAWNA R. CLARK
- Department of Medicinal Chemistry, School of Pharmacy, University of Mississippi, University, MS, 38677-1848, USA
- Tougaloo College, Jackson, MS, 39174
| | - SIVAPRAKASAM PRASANNA
- Department of Medicinal Chemistry, School of Pharmacy, University of Mississippi, University, MS, 38677-1848, USA
| | - ROBERT J. DOERKSEN
- Department of Medicinal Chemistry, School of Pharmacy, University of Mississippi, University, MS, 38677-1848, USA
- Research Institute of Pharmaceutical Sciences, School of Pharmacy, University of Mississippi
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6
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González MP, Caballero J, Tundidor-Camba A, Helguera AM, Fernández M. Modeling of farnesyltransferase inhibition by some thiol and non-thiol peptidomimetic inhibitors using genetic neural networks and RDF approaches. Bioorg Med Chem 2006; 14:200-13. [PMID: 16185882 DOI: 10.1016/j.bmc.2005.08.009] [Citation(s) in RCA: 48] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2005] [Revised: 08/01/2005] [Accepted: 08/02/2005] [Indexed: 11/24/2022]
Abstract
Inhibition of farnesyltransferase (FT) enzyme by a set of 78 thiol and non-thiol peptidomimetic inhibitors was successfully modeled by a genetic neural network (GNN) approach, using radial distribution function descriptors. A linear model was unable to successfully fit the whole data set; however, the optimum Bayesian regularized neural network model described about 87% inhibitory activity variance with a relevant predictive power measured by q2 values of leave-one-out and leave-group-out cross-validations of about 0.7. According to their activity levels, thiol and non-thiol inhibitors were well-distributed in a topological map, built with the inputs of the optimum non-linear predictor. Furthermore, descriptors in the GNN model suggested the occurrence of a strong dependence of FT inhibition on the molecular shape and size rather than on electronegativity or polarizability characteristics of the studied compounds.
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Affiliation(s)
- Maykel Pérez González
- Unit of Service, Drug Design Department, Experimental Sugar Cane Station Villa Clara-Cienfuegos, Ranchuelo, Villa Clara, C.P. 53100, Cuba
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7
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Polley MJ, Winkler DA, Burden FR. Broad-Based Quantitative Structure−Activity Relationship Modeling of Potency and Selectivity of Farnesyltransferase Inhibitors Using a Bayesian Regularized Neural Network. J Med Chem 2004; 47:6230-8. [PMID: 15566293 DOI: 10.1021/jm049621j] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Inhibitors of the enzyme farnesyltransferase show potential as novel anticancer agents. There are many known inhibitors, but efforts to build predictive SAR models have been hampered by the structural diversity and flexibility of inhibitors. We have undertaken for the first time a QSAR study of the potency and selectivity of a large, diverse data set of farnesyltransferase inhibitors. We used novel molecular descriptors based on binned atomic properties and invariants of molecular matrices and a robust, nonlinear QSAR mapping paradigm, the Bayesian regularized neural network. We have built robust QSAR models of farnesyltransferase inhibition, geranylgeranyltransferase inhibition, and in vivo data. We have derived a novel selectivity index that allows us to model potency and selectivity simultaneously and have built robust QSAR models using this index that have the potential to discover new potent and selective inhibitors.
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Affiliation(s)
- Mitchell J Polley
- Centre for Complexity in Drug Design, CSIRO Molecular Science, Private Bag 10, Clayton South MDC, Clayton 3169, Australia
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8
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El Oualid F, Bruining L, Leroy I, Cohen L, van Boom J, van der Marel G, Overkleeft H, Overhand M. Synthesis and Biological Evaluation of Protein:Geranylgeranyltransferase I Inhibitors Based on the CaaX Box: Incorporation of Sugar Amino Acids as Dipeptide Isosters. Helv Chim Acta 2002. [DOI: 10.1002/1522-2675(200210)85:10<3455::aid-hlca3455>3.0.co;2-#] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Farid El Oualid
- Leiden Institute of Chemistry, Gorlaeus Laboratories, P.O. Box 9502, NL‐2301 RA Leiden
| | - Leon Bruining
- Leiden Institute of Chemistry, Gorlaeus Laboratories, P.O. Box 9502, NL‐2301 RA Leiden
| | - Ingrid M. Leroy
- TNO Prevention and Health, Gaubius Laboratory, P.O. Box 2215, NL‐2301 CE Leiden
| | - Louis H. Cohen
- TNO Prevention and Health, Gaubius Laboratory, P.O. Box 2215, NL‐2301 CE Leiden
| | - Jacques H. van Boom
- Leiden Institute of Chemistry, Gorlaeus Laboratories, P.O. Box 9502, NL‐2301 RA Leiden
| | - Gijs A. van der Marel
- Leiden Institute of Chemistry, Gorlaeus Laboratories, P.O. Box 9502, NL‐2301 RA Leiden
| | - Herman S. Overkleeft
- Leiden Institute of Chemistry, Gorlaeus Laboratories, P.O. Box 9502, NL‐2301 RA Leiden
| | - Mark Overhand
- Leiden Institute of Chemistry, Gorlaeus Laboratories, P.O. Box 9502, NL‐2301 RA Leiden
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