Literature DB >> 22148323

Maximizing lipophilic efficiency: the use of Free-Wilson analysis in the design of inhibitors of acetyl-CoA carboxylase.

Kevin D Freeman-Cook1, Paul Amor, Scott Bader, Leanne M Buzon, Steven B Coffey, Jeffrey W Corbett, Kenneth J Dirico, Shawn D Doran, Richard L Elliott, William Esler, Angel Guzman-Perez, Kevin E Henegar, Janet A Houser, Christopher S Jones, Chris Limberakis, Katherine Loomis, Kirk McPherson, Sharad Murdande, Kendra L Nelson, Dennis Phillion, Betsy S Pierce, Wei Song, Eliot Sugarman, Susan Tapley, Meihua Tu, Zhengrong Zhao.   

Abstract

This paper describes the design and synthesis of a novel series of dual inhibitors of acetyl-CoA carboxylase 1 and 2 (ACC1 and ACC2). Key findings include the discovery of an initial lead that was modestly potent and subsequent medicinal chemistry optimization with a focus on lipophilic efficiency (LipE) to balance overall druglike properties. Free-Wilson methodology provided a clear breakdown of the contributions of specific structural elements to the overall LipE, a rationale for prioritization of virtual compounds for synthesis, and a highly successful prediction of the LipE of the resulting analogues. Further preclinical assays, including in vivo malonyl-CoA reduction in both rat liver (ACC1) and rat muscle (ACC2), identified an advanced analogue that progressed to regulatory toxicity studies.

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Year:  2012        PMID: 22148323     DOI: 10.1021/jm201503u

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  8 in total

1.  Composite multi-parameter ranking of real and virtual compounds for design of MC4R agonists: renaissance of the Free-Wilson methodology.

Authors:  Ingemar Nilsson; Magnus O Polla
Journal:  J Comput Aided Mol Des       Date:  2012-10-02       Impact factor: 3.686

2.  NHC-Ni(II)-catalyzed cyclopropene-isocyanide [5 + 1] benzannulation.

Authors:  Jian-Qiang Huang; Meng Yu; Xuefeng Yong; Chun-Yu Ho
Journal:  Nat Commun       Date:  2022-07-16       Impact factor: 17.694

Review 3.  Structure and function of biotin-dependent carboxylases.

Authors:  Liang Tong
Journal:  Cell Mol Life Sci       Date:  2012-08-07       Impact factor: 9.261

4.  Decreasing the rate of metabolic ketone reduction in the discovery of a clinical acetyl-CoA carboxylase inhibitor for the treatment of diabetes.

Authors:  David A Griffith; Daniel W Kung; William P Esler; Paul A Amor; Scott W Bagley; Carine Beysen; Santos Carvajal-Gonzalez; Shawn D Doran; Chris Limberakis; Alan M Mathiowetz; Kirk McPherson; David A Price; Eric Ravussin; Gabriele E Sonnenberg; James A Southers; Laurel J Sweet; Scott M Turner; Felix F Vajdos
Journal:  J Med Chem       Date:  2014-12-11       Impact factor: 7.446

5.  Inhibition of Acetyl-CoA Carboxylase 1 (ACC1) and 2 (ACC2) Reduces Proliferation and De Novo Lipogenesis of EGFRvIII Human Glioblastoma Cells.

Authors:  Jessica E C Jones; William P Esler; Rushi Patel; Adhiraj Lanba; Nicholas B Vera; Jeffrey A Pfefferkorn; Cecile Vernochet
Journal:  PLoS One       Date:  2017-01-12       Impact factor: 3.240

6.  Synthesis, Biological Evaluation and Molecular Docking Studies of Piperidinylpiperidines and Spirochromanones Possessing Quinoline Moieties as Acetyl-CoA Carboxylase Inhibitors.

Authors:  Tonghui Huang; Jie Sun; Qianqian Wang; Jian Gao; Yi Liu
Journal:  Molecules       Date:  2015-09-07       Impact factor: 4.411

Review 7.  Metabolic Targets in Nonalcoholic Fatty Liver Disease.

Authors:  William P Esler; Kendra K Bence
Journal:  Cell Mol Gastroenterol Hepatol       Date:  2019-04-18

Review 8.  An Overview of the Biological Evaluation of Selected Nitrogen-Containing Heterocycle Medicinal Chemistry Compounds.

Authors:  Oluwakemi Ebenezer; Maryam Amra Jordaan; Gea Carena; Tommaso Bono; Michael Shapi; Jack A Tuszynski
Journal:  Int J Mol Sci       Date:  2022-07-23       Impact factor: 6.208

  8 in total

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