Alkali metal cations modulate the geometry of different binding sites in HCN4 selectivity filter for permeation or block
- Hyperpolarization-activated cyclic-nucleotide gated (HCN) channels are important for timing biological processes like heartbeat and neuronal firing. Their weak cation selectivity is determined by a filter domain with only two binding sites for K+ and one for Na+. The latter acts as a weak blocker, which is released in combination with a dynamic widening of the filter by K+ ions, giving rise to a mixed K+/Na+ current. Here, we apply molecular dynamics simulations to systematically investigate the interactions of five alkali metal cations with the filter of the open HCN4 pore. Simulations recapitulate experimental data like a low Li+ permeability, considerable Rb+ conductance, a block by Cs+ as well as a punch through of Cs+ ions at high negative voltages. Differential binding of the cation species in specific filter sites is associated with structural adaptations of filter residues. This gives rise to ion coordination by a cation-characteristic number of oxygen atoms from the filter backbone and solvent. This ion/protein interplay prevents Li+, but not Na+, from entry into and further passage through the filter. The site equivalent to S3 in K+ channels emerges as a preferential binding and presumably blocking site for Cs+. Collectively, the data suggest that the weak cation selectivity of HCN channels and their block by Cs+ are determined by restrained cation-generated rearrangements of flexible filter residues.
Document Type: | Article |
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Language: | English |
Author: | Jan H. Krumbach, Daniel Bauer, Atiyeh Sadat Sharifzadeh, Andrea Saponaro, Rene Lautenschläger, Kristina Lange, Oliver Rauh, Dario DiFrancesco, Anna Moroni, Gerhard Thiel, Kay Hamacher |
Parent Title (English): | The Journal of General Physiology |
Volume: | 155 |
Issue: | 10 |
Article Number: | e202313364 |
ISSN: | 0022-1295 |
DOI: | https://doi.org/10.1085/jgp.202313364 |
PMID: | https://pubmed.ncbi.nlm.nih.gov/37523352 |
Date of first publication: | 2023/07/31 |
Keyword: | Biophysics; Computational Biology; Molecular Physiology |
Dewey Decimal Classification (DDC): | 5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie |
Entry in this database: | 2024/09/17 |