title: Identification of selective inhibitors of the potassium channel Kv1.1-1.2((3)) by high-throughput virtual screening and automated patch clamp.
abstract: Two voltage-dependent potassium channels, Kv1.1 (KCNA1) and Kv1.2 (KCNA2), are found to co-localize at the juxtaparanodal region of axons throughout the nervous system and are known to co-assemble in heteromultimeric channels, most likely in the form of the concatemer Kv1.1-1.2((3)) . Loss of the myelin sheath, as is observed in multiple sclerosis, uncovers the juxtaparanodal region of nodes of Ranvier in myelinated axons leading to potassium conductance, resulting in loss of nerve conduction. The selective blocking of these Kv channels is therefore a promising approach to restore nerve conduction and function. In the present study, we searched for novel inhibitors of Kv1.1-1.2((3)) by combining a virtual screening protocol and electrophysiological measurements on a concatemer Kv1.1-1.2((3)) stably expressed in Chinese hamster ovary K1 (CHO-K1) cells. The combined use of four popular virtual screening approaches (eHiTS, FlexX, Glide, and Autodock-Vina) led to the identification of several compounds as potential inhibitors of the Kv1.1-1.2((3)) channel. From 89 electrophysiologically evaluated compounds, 14 novel compounds were found to inhibit the current carried by Kv1.1-1.2((3)) channels by more than 80 % at 10 μM. Accordingly, the IC(50) values calculated from concentration-response curve titrations ranged from 0.6 to 6 μM. Two of these compounds exhibited at least 30-fold higher potency in inhibition of Kv1.1-1.2((3)) than they showed in inhibition of a set of cardiac ion channels (hERG, Nav1.5, and Cav1.2), resulting in a profile of selectivity and cardiac safety. The results presented herein provide a promising basis for the development of novel selective ion channel inhibitors, with a dramatically lower demand in terms of experimental time, effort, and cost than a sole high-throughput screening approach of large compound libraries.
authors.affiliation: Max Planck Institute for Biophysical Chemistry, Computational Biomolecular Dynamics Group, Am Fassberg 11, 37077 Göttingen, Germany.
authors.forename: Sören J
authors.initials: SJ
authors.lastname: Wacker
authors.forename: Wiktor
authors.initials: W
authors.lastname: Jurkowski
authors.forename: Katie J
authors.initials: KJ
authors.lastname: Simmons
authors.forename: Colin W G
authors.initials: CW
authors.lastname: Fishwick
authors.forename: A Peter
authors.initials: AP
authors.lastname: Johnson
authors.forename: David
authors.initials: D
authors.lastname: Madge
authors.forename: Erik
authors.initials: E
authors.lastname: Lindahl
authors.forename: Jean-Francois
authors.initials: JF
authors.lastname: Rolland
authors.forename: Bert L
authors.initials: BL
authors.lastname: de Groot
mesh_terms: D000818:Animals; D001331:Automation; D001665:Binding Sites; D016466:CHO Cells; D006224:Cricetinae; D003412:Cricetulus; D057166:High-Throughput Screening Assays; D051662:Kv1.1 Potassium Channel / Q000037:antagonists & inhibitors* / Q000378:metabolism; D051663:Kv1.2 Potassium Channel / Q000037:antagonists & inhibitors* / Q000378:metabolism; D008564:Membrane Potentials / Q000187:drug effects; D062105:Molecular Docking Simulation; D018408:Patch-Clamp Techniques; D026902:Potassium Channel Blockers / Q000737:chemistry* / Q000494:pharmacology; D017434:Protein Structure, Tertiary; D012372:ROC Curve; D054852:Small Molecule Libraries / Q000737:chemistry / Q000494:pharmacology
chemical_list: D051663:Kv1.2 Potassium Channel; D026902:Potassium Channel Blockers; D054852:Small Molecule Libraries; D051662:Kv1.1 Potassium Channel