Ion-coupled transport of neurotransmitter molecules by neurotransmitter:sodium symporters (NSS) play an important role in the regulation of neuronal signaling. One of the major events in the transport cycle is ion-substrate coupling and formation of the high-affinity occluded state with bound ions and substrate. Molecular mechanisms of ion-substrate coupling and the corresponding ion-substrate stoichiometry in NSS transporters has yet to be understood. The recent determination of a high-resolution structure for a bacterial homolog of Na(+)/Cl(-)-dependent neurotransmitter transporters, LeuT, offers a unique opportunity to analyze the functional roles of the multi-ion binding sites within the binding pocket. The binding pocket of LeuT contains two metal binding sites. The first ion in site NA1 is directly coupled to the bound substrate (Leu) with the second ion in the neighboring site (NA2) only approximately 7 A away. Extensive, fully atomistic, molecular dynamics, and free energy simulations of LeuT in an explicit lipid bilayer are performed to evaluate substrate-binding affinity as a function of the ion load (single versus double occupancy) and occupancy by specific monovalent cations. It was shown that double ion occupancy of the binding pocket is required to ensure substrate coupling to Na(+) and not to Li(+) or K(+) cations. Furthermore, it was found that presence of the ion in site NA2 is required for structural stability of the binding pocket as well as amplified selectivity for Na(+) in the case of double ion occupancy.
hERG1 is a member of the cyclic nucleotide binding domain family of K(+) channels. Alignment of cyclic nucleotide binding domain channels revealed an evolutionary conserved sequence HwX(A/G)C in the S5 domain. We reasoned that histidine 562 in hERG1 could play an important structure-function role. To explore this role, we created in silica models of the hERG1 pore domain based on the KvAP crystal structure with Rosetta-membrane modeling and molecular-dynamics simulations. Simulations indicate that the H562 residue in the S5 helix spans the gap between the S5 helix and the pore helix, stabilizing the pore domain, and that mutation at the H562 residue leads to a disruption of the hydrogen bonding to T618 and S621, resulting in distortion of the selectivity filter. Analysis of the simulated point mutations at positions 562/618/621 showed that the reciprocal double mutations H562W/T618I would partially restore the orientation of the 562 residue. Matching hydrophobic interactions between mutated W562 residue and I618 partially compensate for the disrupted hydrogen bonding. Complementary in vitro electrophysiological studies confirmed the results of the molecular-dynamics simulations on single mutations at positions 562, 618, and 621. Experimentally, mutations of the H562 to tryptophan produced a functional channel, but with slowed deactivation and shifted V(1/2) of activation. Furthermore, the double mutation T618I/H562W rescued the defects seen in activation, deactivation, and potassium selectivity seen with the H562W mutation. In conclusion, interactions between H562 in the S5 helix and amino acids in the pore helix are important determinants of hERG1 potassium channel function, as confirmed by theory and experiment.
Blockade of the human ether-a-go-go related gene 1 (hERG1) channel has been associated with an increased duration of ventricular repolarization, causing prolongation of the time interval between Q and T waves (long QT syndrome, or LQTS). LQTS may result in serious cardiovascular disorders such as tachyarrhythmia and sudden cardiac death. Diverse types of organic compounds bind to the wide intracellular cavity in the pore domain of hERG channels, leading to a full or partial blockade of ion current through the pore. The drug-induced blockade of the hERG-related component of the potassium current is thought to be a major reason for drug-induced arrhythmias in humans. Identification of specific interactions governing the high-affinity blockade of cardiac potassium (K-) channels is crucial both for the prevention of unintended ion channel block and for the design of ion channel modulators. A plethora of ligand- and receptor-based models of K-channels have been created to address these challenges. In this paper, we review the current state of knowledge regarding the structure-function relationship of hERG and discuss progress in the use of molecular modeling for developing both blockers and activators of hERG.
The hERG1 gene (Kv11.1) encodes a voltage-gated potassium channel. Mutations in this gene, lead to one form of the Long QT Syndrome in humans (LQTS). Promiscuous binding of drugs to hERG1 is known to alter the structure/function of the channel leading to an acquired form of the LQTS. Expectably, creation and validation of reliable 3D model of the channel has been a key target in molecular cardiology and pharmacology for the last decade. While many models were built, they all were limited to pore domain. In this work, a full model of the hERG1 channel is developed which includes all trans-membrane segments. We tested a template-driven de-novo design with ROSETTA-membrane modeling using side-chain placements optimized by subsequent molecular dynamics (MD) simulations. While backbone templates for the homology modeled parts of the pore and voltage sensors were based on the available structures of KvAP, Kv1.2 and Kv1.2–Kv2.1 chimera channels, the missing parts are modeled de-novo. The impact of several alignments on the structure of the S4 helix in the voltage-sensing domain was also tested. Herein, final models are evaluated for consistency to the reported structural elements discovered mainly on the basis of mutagenesis and electrophysiology. These structural elements include: salt bridges and close contacts in the voltage-sensor domain; and the topology of the extracellular S5-pore linker compared to that established by toxin foot-printing and NMR studies. Implications of the refined hERG1 model to binding of blockers and channels activators (potent new ligands for channel activations) are discussed.
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