| Literature DB >> 30499663 |
Shaoyi Sun1, Qi Jia1, Alla Y Zenova1, Michael S Wilson1, Sultan Chowdhury1, Thilo Focken1, Jun Li2, Shannon Decker1, Michael E Grimwood1, Jean-Christophe Andrez1, Ivan Hemeon1, Tao Sheng1, Chien-An Chen3, Andy White3, David H Hackos2, Lunbin Deng2, Girish Bankar1, Kuldip Khakh1, Elaine Chang1, Rainbow Kwan1, Sophia Lin1, Karen Nelkenbrecher1, Benjamin D Sellers2, Antonio G DiPasquale2, Jae Chang2, Jodie Pang2, Luis Sojo1, Andrea Lindgren1, Matthew Waldbrook1, Zhiwei Xie1, Clint Young1, James P Johnson1, C Lee Robinette1, Charles J Cohen1, Brian S Safina2, Daniel P Sutherlin2, Daniel F Ortwine2, Christoph M Dehnhardt1.
Abstract
Herein, we report the discovery and optimization of a series of orally bioavailable acyl sulfonamide NaV1.7 inhibitors that are selective for NaV1.7 over NaV1.5 and highly efficacious in in vivo models of pain and hNaV1.7 target engagement. An analysis of the physicochemical properties of literature NaV1.7 inhibitors suggested that acyl sulfonamides with high fsp3 could overcome some of the pharmacokinetic (PK) and efficacy challenges seen with existing series. Parallel library syntheses lead to the identification of analogue 7, which exhibited moderate potency against NaV1.7 and an acceptable PK profile in rodents, but relatively poor stability in human liver microsomes. Further, design strategy then focused on the optimization of potency against hNaV1.7 and improvement of human metabolic stability, utilizing induced fit docking in our previously disclosed X-ray cocrystal of the NaV1.7 voltage sensing domain. These investigations culminated in the discovery of tool compound 33, one of the most potent and efficacious NaV1.7 inhibitors reported to date.Entities:
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Year: 2018 PMID: 30499663 DOI: 10.1021/acs.jmedchem.8b01621
Source DB: PubMed Journal: J Med Chem ISSN: 0022-2623 Impact factor: 7.446