| Literature DB >> 26680203 |
Shivani Ahuja1, Susmith Mukund1, Lunbin Deng2, Kuldip Khakh3, Elaine Chang3, Hoangdung Ho1, Stephanie Shriver1, Clint Young3, Sophia Lin3, J P Johnson3, Ping Wu1, Jun Li4, Mary Coons1, Christine Tam1, Bobby Brillantes1, Honorio Sampang1, Kyle Mortara1, Krista K Bowman1, Kevin R Clark5, Alberto Estevez1, Zhiwei Xie3, Henry Verschoof3, Michael Grimwood6, Christoph Dehnhardt6, Jean-Christophe Andrez6, Thilo Focken6, Daniel P Sutherlin4, Brian S Safina4, Melissa A Starovasnik1, Daniel F Ortwine4, Yvonne Franke1, Charles J Cohen3, David H Hackos7, Christopher M Koth8, Jian Payandeh8.
Abstract
Voltage-gated sodium (Nav) channels propagate action potentials in excitable cells. Accordingly, Nav channels are therapeutic targets for many cardiovascular and neurological disorders. Selective inhibitors have been challenging to design because the nine mammalian Nav channel isoforms share high sequence identity and remain recalcitrant to high-resolution structural studies. Targeting the human Nav1.7 channel involved in pain perception, we present a protein-engineering strategy that has allowed us to determine crystal structures of a novel receptor site in complex with isoform-selective antagonists. GX-936 and related inhibitors bind to the activated state of voltage-sensor domain IV (VSD4), where their anionic aryl sulfonamide warhead engages the fourth arginine gating charge on the S4 helix. By opposing VSD4 deactivation, these compounds inhibit Nav1.7 through a voltage-sensor trapping mechanism, likely by stabilizing inactivated states of the channel. Residues from the S2 and S3 helices are key determinants of isoform selectivity, and bound phospholipids implicate the membrane as a modulator of channel function and pharmacology. Our results help to elucidate the molecular basis of voltage sensing and establish structural blueprints to design selective Nav channel antagonists.Entities:
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Year: 2015 PMID: 26680203 DOI: 10.1126/science.aac5464
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 47.728