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Zeipelt, A. P.

Publications and source records attributed to Zeipelt, A. P..

2 recordsLinked to original sources

A sequence variation between two orthologues alters functional expression of the potassium channel Kesv of Ectocarpus siliculosus virus

The potassium channel Kesv encoded by the Ectocarpus siliculosus virus (Kesv 1) differs by seven amino acid residues from its host-derived homolog (Kesv 2), resulting from lysogenic integration. When expressed in Xenopus laevis oocytes, Kesv 1 displayed significantly higher ion conductance and functional expression than Kesv 2, as demonstrated by GFP fluorescence and voltage clamp measurements. This study provides the first structural and functional analysis of Kesv 2, uncovering key differences between the original and host-derived variant. The systematic residue substitutions - based on location- from Kesv 2 to the corresponding residues in Kesv 1 illustrated that two amino acid exchanges in close proximity to the pore region (Q61H and T66A), albeit not individually but in combination, significantly resulted in a loss-of-function phenotype in Kesv 1. AlphaFold predictions and subsequent molecular dynamics simulations did not reveal significant differences between Kesv 1 and Kesv 2 structural models, suggesting that the loss of function cannot be attributed to differences at the structural level. Instead, a reduced surface expression of Kesv 2, caused by the sequence modulations in the brown algal host, appears more plausible. Notably, the pharmacological profiling with Linopirdine and Sotalol highlights differences in drug sensitivity, establishing these minimalist channels (core channel structure without regulatory domains) as tractable models for dissecting novel fundamental principles of ion channel function and drug interaction, while highlighting key differences from more complex channel systems. Significance StatementPotassium channels are essential for cellular excitability, yet their large size and structural complexity limit our understanding of the core features underlying channel function. Here, we identified and established an orthologous model to compare the effects of evolutionarily acquired mutations in two voltage-sensing potassium channels-the viral potassium channel from Ectocarpus siliculosus virus (Kesv 1) and its host-homolog derivative (Kesv 2) as simplified model systems for understanding ion channel physiology and host-viral interactions. We provide the first functional characterization of Kesv 2 in Xenopus laevis oocytes using two-electrode voltage-clamp and site-directed mutagenesis, revealing that, despite sharing an identical SVGYG selectivity-filter motif and differing by only 7 residues, they exhibit distinct ion-conduction properties.

pharmacology and toxicology↗

Light Martini water accelerates sampling in coarse-grained molecular dynamics simulations

Molecular dynamics (MD) simulations of slow biomolecular processes, such as exploration of the conformational ensembles of intrinsically disordered proteins (IDPs), are computationally demanding. Although coarse-grained (CG) models can substantially speed up the simulations compared to all-atom MD, the sampling challenge can still be significant for large systems and long time scales. Here, we present light Martini water, a low-viscosity water model that accelerates sampling in MD simulations with the Martini CG force field. We systematically reduced the mass of the Martini water beads and verified stable, accurate integration of the equations of motion with 20 fs time steps, as typically used in Martini simulations. Light Martini water has a reduced mass of 20 amu (compared to 72 amu in the standard water model), yielding up to a 2.68-fold increase in the sampling rate of IDP chain reconfiguration in water and a 16% increase in the lateral diffusion of lipids in a POPC bilayer. Equilibrium properties remained unaffected by the mass scaling, and the speedup was achieved without compromising simulation accuracy. The water model is trivial to implement, has no computational overhead, and should be universally applicable to Martini simulations.

biophysics↗