Key result
Computational modeling of flecainide binding to Kv1.5 and Nav1.5 channels identified a common structural pattern consisting of a hydrophobic patch and a polar region in the central cavity.
Why the study?
Antiarrhythmic drugs for AF are limited by toxicity and modest efficacy, while combined blockade of Nav1.5 and Kv1.5 channels synergistically suppresses arrhythmia without ventricular alterations.
Answers are grounded in this paper and cite their sources.
A computational workflow identified a common structural binding pattern for flecainide in Kv1.5 and Nav1.5 channels, which may inform future multi-target drug design for atrial fibrillation.
Atrial fibrillation (AF) is the most common cardiac arrhythmia. Its treatment includes antiarrhythmic drugs (AADs) to modulate the function of cardiac ion channels. However, AADs have been limited by proarrhythmic effects, non-cardiovascular toxicities as well as often modest antiarrhythmic efficacy. Theoretical models showed that a combined blockade of Nav1.5 (and its current, INa) and Kv1.5 (and its current, IKur) ion channels yield a synergistic anti-arrhythmic effect without alterations in ventricles. We focused on Kv1.5 and Nav1.5 to search for structural similarities in their binding site (BS) for flecainide (a common blocker and widely prescribed AAD) as a first step for prospective rational multi-target directed ligand (MTDL) design strategies. We present a computational workflow for a flecainide BS comparison in a flecainide-Kv1.5 docking model and a solved structure of the flecainide-Nav1.5 complex. The workflow includes docking, molecular dynamics, BS characterization and pattern matching. We identified a common structural pattern in flecainide BS for these channels. The latter belongs to the central cavity and consists of a hydrophobic patch and a polar region, involving residues from the S6 helix and P-loop. Since the rational MTDL design for AF is still incipient, our findings could advance multi-target atrial-selective strategies for AF treatment.
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Mazola et al. (2022) studied Atrial fibrillation. Computational modeling of flecainide binding was evaluated on Common structural pattern in flecainide binding site. Computational modeling of flecainide binding to Kv1.5 and Nav1.5 channels identified a common structural pattern consisting of a hydrophobic patch and a polar region in the central cavity.
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